[PDF] The Karlsruhe Institute of Technology translation systems for the WMT 2011
[PDF] from aclweb.org
T Herrmann, M Mediani, J Niehues... - Proceedings of the Sixth ..., 2011 - aclweb.org
... Precision Recall F-measure Regression 93.81 87.27 90.42 LogReg 93.43 94.84 94.13 MaxEnt
93.69 94.54 ... The maximum entropy classifier performed better than the logistic regression in terms
of precision but however it ... SRILM - An Extensible Lan- guage Modeling Toolkit. ...
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Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels
C Wu, W Liang - Affective Computing, IEEE Transactions on, 2011 - ieeexplore.ieee.org
... If these two parameters are greater than the threshold value, the union of A and B will be retained
for Maximum Entropy (MaxEnt) modeling. To model the emotion based on semantic labels,
MaxEnt is employed to model the abovementioned EARs as follows. ...
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[PDF] ILLC-UvA translation system for EMNLP-WMT 2011
[PDF] from statmt.org
M Khalilov... - Proceedings of the Sixth Workshop on Statistical ..., 2011 - statmt.org
... 5.2 Experimental setup Moses toolkit (Koehn et al., 2007) in its standard setting was
used to build the SMT systems: • GIZA++/mkcls (Och, 2003; Och, 1999) for word alignment. ...
For maximum entropy modeling we used the maxent toolkit4. ...
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[PDF] Enriching text-to-speech synthesis using automatic dialog act tags
[PDF] from uiuc.edu
VKR Sridhar, A Syrdal, A Conkie... - Proceedings of ..., 2011 - mickey.ifp.uiuc.edu
... We use the machine learning toolkit LLAMA [7] to estimate the conditional distribution using
maxent. 2.2. Training Data for Dialog Act Tagger ... Table 1: Dialog act tagging accuracies (in %)
for lexical and syntactic cues with the maximum entropy model. ...
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MAXIMUM-ENTROPIE-METHODEN IN MUSTERERKENNUNG UND K UNSTLICHER INTELLIGENZ
EG Schukat-Talamazzini - minet.uni-jena.de
... 3] 10. Das MaxEnt-Toolkit von Ristad Ris98, Laf95] 1 ... Luc9X] H. Lucke: The Edge Pruning Algorithm
for Finding Decomposable Stochastic Models, IEEE Trans. on Pattern Analysis and Machine
Intelligence, 199X. Ris98] ES Ristad: Maximum Entropy Modeling Toolkit, 1998. ...
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A Maximum Entropy Segmentation Model for Statistical Machine Translation
D Xiong, M Zhang... - Audio, Speech, and Language Processing, ... - ieeexplore.ieee.org
... is constructed with cohesive segment boundary classifiers which are based on the maximum
entropy principle. ... all corpora except for the United Nations corpus to train our MaxEnt based
reordering ... We built a four-gram language model using the SRILM toolkit [21], which was ...
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Chinese event place phrase recognition of emergency event using Maximum Entropy
F Zhu, Z Liu, J Yang... - Cloud Computing and ..., 2011 - ieeexplore.ieee.org
... [10] Le Zhang, "Maximum Entropy Modeling Toolkit for Python and C++," http://homepages.inf.
ed.ac.uk/lzhang10/maxent _toolkit.html. [11] AL Berger, et al., "A maximum entropy approach
to natural language processing," Computational linguistics, vol. 22, pp. 39-71, 1996. 618
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Cross-lingual sentiment classification via bi-view non-negative matrix tri-factorization
J Pan, GR Xue, Y Yu... - ... in Knowledge Discovery and Data Mining, 2011 - Springer
... google.com/ 6 http://www.statmt.org/wmt08/scripts.tgz 7 http://nlp.stanford.edu/software/segmenter.
shtml 8 http://www.keenage.com/ 9 We use Maximum Entropy Modeling Toolkit for Python and
C++ by Le Zhang, http://homepages.inf.ed.ac.uk/lzhang10/maxent toolkit.html ...
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[PDF] CREATING ENSEMBLE OF DIVERSE MAXIMUM ENTROPY MODELS
[PDF] from usc.edu
K Audhkhasi, A Sethy, B Ramabhadran... - www-scf.usc.edu
... principle aims to find a proba- bility distribution P(y|x) with maximum entropy subject to ... method
(such as L- BFGS [12]) can be used to find the maximum likelihood parameter ... The ?MaxEnt model
ensemble performs significantly better than 1 MaxEnt model trained on the entire ...
View as HTML - Import into BibTeX
Using Rich Linguistic and Contextual Information for Tree-Based Statistical Machine Translation
BT Hung, N Le Minh... - ... on Asian Language ..., 2011 - doi.ieeecomputersociety.org
... Under the MaxEnt model, we have: ... Meanwhile, we gather the lexical and syntax features for
training the Maximum entropy models. The maximum initial phrase length is set to 10, and the
maximum rule length of the source side is set to 5. We use SRILM toolkit [11] to train ...
Import into BibTeX
Detecting structural events for assessing non-native speech
[PDF] from aclweb.org
L Chen... - Proceedings of the 6th Workshop on Innovative Use ..., 2011 - dl.acm.org
... extracted on human annotations, the features derived from struc- tural events automatically
estimated by the two NLP models show a lower but sufficiently high r. The features derived from
the MaxEnt model's estima- tions on ... Maximum Entropy Model- ing Toolkit for Python ...
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Comparative Analysis of Tools Available for Developing Statistical Approach Based Machine Translation System
A Kumar... - Information Systems for Indian Languages, 2011 - Springer
... YASMET [W10]: YASMET stands for Yet Another Small MaxEnt Toolkit. This is a tiny toolkit for
performing training of maximum entropy models. ... Joshua [W16]: It is an open source decoder for
statistical translation models based on synchronous context free grammars. ...
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[PDF] Supervised classification of news articles by whether they mention diseases and outbreaks
[PDF] from stanford.edu
M Chua - 2011 - nlp.stanford.edu
... To train a MaxEnt classifier, it is necessary to determine the value of each <feature, class>'s weight
based on the training ... This algorithm is implemented by an existing library, the Maximum Entropy
Modeling Toolkit for Python and C++ 1. My code reads the training corpus, maps ...
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[PDF] ETS: An Error Tolerable System for Coreference Resolution
[PDF] from ffzg.hr
H Xiong, L Song, F Meng, Y Liu, Q Liu... - ACL HLT 2011, 2011 - hnk.ffzg.hr
... 2005. Coarse-to-fine n- best parsing and maxent discriminative reranking. In Proceedings
of the 43rd Annual Meeting on Associ- ation for Computational Linguistics, pages 173-180. ...
Z. Le. 2004. Maximum entropy modeling toolkit for Python and C++. ...
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A Model Lexicalized Hierarchical Reordering for Phrase Based Translation
V Van Nguyen, TP Nguyen, M Le Nguyen... - Procedia-Social and ..., 2011 - Elsevier
... Then we use the open source toolkit for Maximum Entropy 1 to train Maximum Entropy model
for reordering model. ... To integrate HRM model into decoding, we compute reordering score 1
http://homepages.inf.ed.ac.uk/s0450736/maxent toolkit.html 82 Vinh Van Nguyen et al. ...
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[PDF] A Unified and Discriminative Soft Syntactic Constraint Model for Hierarchical Phrase-based Translation
[PDF] from mt-archive.info
LLTZC Wang... - mt-archive.info
... Page 6. SRILM Toolkits (Stolcke, 2002) with modified Kneser-Ney smoothing (Chen and
Goodman,1998). ... Table 4.The translation effect of unifying methods for MaxEnt based SSC models
on MT NIST05 test set. ... 2006. Maximum Entropy Modeling Toolkit for Python and C++. ...
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[PS] Use of Maximum Entropy in Back-o Modeling for a Named Entity Tagger
[PS] from buffalo.edu
RK Srihari, CN Munirathnam Srikanth... - cedar.buffalo.edu
... 1 oldc(Y ) c(Y ) ? 1 1 + uniqueoutcomesof Y c(Y ) . Page 5. HKK CONFERENCE 5 VIII. Use of
ME for Estimating Name Class: No Backoff In the nal model to be discussed, no backo model
is employed. ... In particular, Jaynes dis- cusses the maximum entropy principle (MaxEnt). ...
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Knowledge transfer based on feature representation mapping for text classification
J Meng, H Lin... - Expert Systems with Applications, 2011 - Elsevier
... IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(4), 396-403. Zhang, L.
Maximum entropy modeling toolkit for python and c++. Available at: http://homepages.inf.ed.
ac.uk/s0450736/software/maxent/manual.pdf. Zhang, T., & Oles, F. (2001). ...
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Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds
S Oppel, A Meirinho, I Ramírez, B Gardner... - Biological ..., 2011 - Elsevier
... (http://www.cs.princeton.edu/~schapire/maxent/). Maximum entropy is a
presence-only modelling approach that uses background samples of the environment
rather than absence locations to estimate environmental relationships. ...
Import into BibTeX
[PDF] Linking Named Entities to a Structured Knowledge Base
[PDF] from bahripublications.in
VV PINGALI - bahripublications.in
... IR = Information Retrieval, NB = Naive Bayes, MaxEnt = Maximum Entropy ... based approach is
able to perform slightly better than Naive Bayes and Maximum Entropy approaches. ... Bow: A toolkit
for statistical language modeling, text re- trieval, classification and clustering, 1996. ...
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[PDF] Using Human Perception for Automatic Accent Assessment
[PDF] from uiuc.edu
F William, A Sangwan... - 2011 - mickey.ifp.uiuc.edu
... In this study, the features for the proposed MEM (Maximum Entropy Model) are pronunciation
errors, ie ... method for alignments between decoded and canonical phones sequences, and Maxent
Toolkit [9] to train ... After the models are obtained, the testing set is evaluated using Eq. ...
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Recognition of word emotion state in sentences
C Quan... - IEEJ Transactions on Electrical and ..., 2011 - Wiley Online Library
... Maximum entropy modeling provides a framework for integrat- ing information from many
heterogeneous information sources ... The deter- ministic model produces conditional probability
[25], see (1) and (2). In experiments, we have used a Java-based open-nlp MaxEnt toolkit.2 ...
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Error detection in broadcast news ASR using Markov chains
[PDF] from inesc-id.pt
T Pellegrini... - Human Language Technology. Challenges for ..., 2011 - Springer
... The HTK toolkit2 was used to train and test MCs ... tested by comparing this approach to a Gaussian
Mixture Model (GMM), and to a maximum entropy model, that is currently used in our ... A Maxent
model with a 0.5 decision threshold was able to detect only 7% of the errors correctly ...
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Resolving Noun Phrase Coreference in Czech
M Novák... - Anaphora Processing and Applications, 2011 - Springer
... Method Precision Recall F-Measure MaxEnt classifier 57.30% 33.54% 42.32% MaxEnt ranker
58.55% 35.58 ... From this point of view, maximum entropy ranker performs better than perceptron
ranker. Except for the final evaluation we were interested how models deal with quan ...
Import into BibTeX
Identification of conjunct verbs in hindi and its effect on parsing accuracy
[PDF] from iiit.ac.in
R Begum, K Jindal, A Jain, S Husain... - ... and Intelligent Text ..., 2011 - Springer
... These features are mapped to binary features. We used maximum entropy toolkit2 to conduct
our experiments. 6 Experiments and Results ... The best model gives us the highest accuracy of
around 85.28%. ... 2 http://homepages.inf.ed.ac.uk/s0450736/maxent toolkit.html Page 8. ...
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[PDF] A Cross-lingual Annotation Projection-based Self-supervision Approach for Open Information Extraction
[PDF] from aclweb.org
S Kim, M Jeong, J Lee... - aclweb.org
... using CRF++ and Maximum Entropy Modeling toolkits 7. 4.3 Extraction During execution, the
input of the system is raw text in Korean and the output is a set of extractions 6http://sourceforge.
net/projects/mstparser/ 7http://homepages.inf.ed.ac.uk/lzhang10/maxent toolkit.html 745 ...
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[PDF] On Classifying the Political Sentiment of Tweets
[PDF] from utexas.edu
C Johnson, P Shukla... - cs.utexas.edu
... scenario such as this, this is equivalent to fitting a logistic regression model to the ... In implement-
ing a maximum entropy classifier portion of our project we extended the updown sentiment ... Go'
were then resolved to the same com- mon identifier allowing our MaxEnt classifier to ...
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System and method of exploiting prosodic features for dialog act tagging in a discriminative modeling framework
S Bangalore... - US Patent 7,996,214, 2011 - Google Patents
... to embodiments within the scope of the present invention, a chunk based model for dialog act ...
at least one parameter in the user utterance by using maximum entropy discriminative classi?ers. ...
distribution P(d,-l<I>) )by choosing the maxi- mum entropy (maxent) distribution that ...
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[PDF] Context-Sensitive Syntactic Source-Reordering by Statistical Transduction
[PDF] from uva.nl
M Khalilov... - staff.science.uva.nl
... All language models were trained with SRI LM toolkit (Stolcke, 2002). Language models
for Dutch, Spanish and Chinese use 5-grams, while the ideal- ... For Maximum Entropy
model- ing we used the maxent toolkit7. Translation scores. ...
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Named Entity Recognition System for Hindi Language: A Hybrid Approach
[PDF] from cscjournals.org
S Srivastava, M Sanglikar... - International Journal of ..., 2011 - cscjournals.org
... MaxEnt [6]: MaxEnt stands for Maximum Entropy Markov Model (MEMM). ... 5.2 MaxEnt Based
Machine Learning It is based on the principle of maximum entropy which states that the least
biased model which considers all know facts is the one which maximizes entropy. ...
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[PDF] Bootstrapped Named Entity Recognition for Product Attribute Extraction
[PDF] from rug.nl
DP Putthividhya... - acl.eldoc.ub.rug.nl
... Maximum entropy classifier is thus closely related to logistic regression model ... is analogous to
compar- ing MAP (maximum a priori) estimate with that of ML (maximum likelihood) in ... The MaxEnt
implementation used in our experiment is the version available from the NLTK toolkit ...
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[PDF] Detecting forum authority claims in online discussions
[PDF] from aclweb.org
A Marin, B Zhang... - ACL HLT 2011, 2011 - aclweb.org
... The classifier used is a maximum entropy clas- sifier (MaxEnt), implemented using the MALLET
package (McCallum ... The results are summarized in table 4. Maximum# selected Dev Eval n-gram
length ... one that provides the highest dev set F-score, which is the MaxEnt clas- sifier ...
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[PDF] Machine Transcription of Guqin Tablature and Automatic Music Rhythm Tagging?
[PDF] from joics.com
Y Guan... - Journal of Information & Computational Science, 2011 - joics.com
... di = agrdmax P(di|?i) The maximum entropy model is one of the techniques successfully used
in the research on part- of-speech tagging. We employ the Maxent Toolkit [16] with selected
features as follows: di; ?i-5 to ?i-1; ?i+1g to g?i+5; di-3di-2di-1. ...
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[PDF] Function Word Generation in Statistical Machine Translation Systems
[PDF] from mt-archive.info
L Cui, D Zhang, M Li... - mt-archive.info
... Given the contextual information C, TFWIM is computed by the maximum entropy (ME) approach
as follows: ... The proposed TFWIM is trained by the MaxEnt toolkit (Zhang, 2006 ... The training data
of the lexicalized reordering model comes from LDC2003E14, which contains 128K ...
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[PDF] OntoGene at CALBC II and Some Thoughts on the Need of Document-Wide Harmonization
[PDF] from ebi.ac.uk
S Clematide, F Rinaldi... - Second CALBC Workshop - ebi.ac.uk
... 4 core). Therefore, MaxEnt was adopted in our system. In ... new entity type. Then
we extracted the features mentioned above to get the well-formatted training data
for maximum entropy tool kit to train model. Thirdly, we dealt ...
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[PDF] Detection and Classification of Network Intrusion Using ILACR
[PDF] from ijctis.com
R Ramprasath... - International Journal of Computing ... - ijctis.com
... The simplest conditional classifier is the Maxent classifier based upon maximum entropy
classification, which ... In this case, using a conditional model would result in a simple maximum
entropy classifier [40 ... time efficiency and not in the time required for training of the model as the ...
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[PDF] RTextTools: A Supervised Learning Package for Text Classification
[PDF] from rtexttools.com
TP Jurka... - install.rtexttools.com
... Each model created in the previous step is passed on to ... and the two highest per- forming
algorithms (maximum entropy and random ... recall_accuracy(analytics@doc_summary$
MANUAL_CODE,analytics@doc_summary$ FORESTS_LABEL) # MAXENT 57% ACCURACY ...
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Eco-cultural niches of the Badegoulian: Unraveling links between cultural adaptation and ecology during the Last Glacial Maximum in France
WE Banks, T Aubry, F d'Errico, J Zilhão... - Journal of ..., 2011 - Elsevier
... were produced with the sum function of a uniform phase model in OxCal ... Furthermore, the
Badegoulian presents a simplified and relatively low-investment toolkit (see Straus ... used genetic
algorithm (GARP; Stockwell and Peters, 1999) and maximum entropy (Maxent; [Phillips et ...
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Exploring the SAWA corpus: collection and deployment of a parallel corpus English-Swahili
[PDF] from tshwanedje.com
G De Pauw, PW Wagacha... - Language resources and ..., 2011 - Springer
... 3). A Maxent classifier (Le 2004) is subsequently trained on this data, ... 3 Instances for Maximum
Entropy Sentence Aligner ... To construct an n-gram language model with the SRILM toolkit (Stolcke
2002), we used the twenty-million-word TshwaneDJe Kiswahili Internet Corpus (de ...
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[PDF] The Atlas of Living Australia? s Spatial Portal
[PDF] from ala.org.au
L Belbin - ala.org.au
... 4). Page 5. Figure 4. MaxEnt spatial prediction of Sarcophilus harrisii (Tasmanian Devil) using
Aridity index - month max, Precipitation - seasonality and Temperature - annual max mean. ...
A maximum entropy approach to species distribution modeling. ...
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Utilizing gestures to improve sentence boundary detection
[PDF] from jhu.edu
L Chen... - Multimedia Tools and Applications, 2011 - Springer
... data sets [31]. In addition, discriminative modeling approaches, such as maximum
entropy (ME) and conditional random field (CRF), were investigated to address
weaknesses of the generative HMM approach [32]. As an important ...
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[PDF] Judging grammaticality with tree substitution grammar derivations
[PDF] from 59.108.48.12
M Post - Proceedings of the 49th Annual Meeting of the ..., 2011 - 59.108.48.12
... Eugene Charniak and Mark Johnson. 2005. Coarse-to- fine n-best parsing and MaxEnt
discriminative rerank- ing. In Proc. ... Eugene Charniak. 2000. A maximum-entropy-inspired parser.
In Proc. ... Andreas Stolcke. 2002. SRILM - an extensible language modeling toolkit. In Proc. ...
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Enriching machine-mediated speech-to-speech translation using contextual information
VK Rangarajan Sridhar, S Bangalore... - Computer Speech & ..., 2011 - Elsevier
... View Within Article. 4. Maximum entropy classification. We use a maximum entropy sequence
tagging model for the purpose of automatic tagging. ... We used the machine learning toolkit LLAMA
(Haffner, 2006) to estimate the conditional distribution using Maxent. ...
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[PDF] Joint Alignment and Artificial Data Generation: An Empirical Study of Pivot-based Machine Transliteration
[PDF] from aclweb.org
M Zhang, X Duan, M Liu, Y Xia... - aclweb.org
... unlike other feature-based methods, such as CRFs (Lafferty et al., 2001), MaxEnt (Berger et al ...
based and the proposed synthetic- based strategy are transliteration model- independent while
model-based strategy ... A Maximum Entropy Approach to Natural Language Processing. ...
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[CITATION] Combining Information Sources for Confidence Estimation with CRF Models
MS Seigel... - 2011
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[PDF] Learning from Chinese-English Parallel Data for Chinese Tense Prediction
[PDF] from aclweb.org
F Liu, F Liu... - aclweb.org
... We chose the maximum entropy (ME) model as the classifier for tense prediction, because ME
can ... Coarse-to-fine n-best parsing and maxent discriminative reranking. ... A word-based approach
for modeling and discovering temporal rela- tions embedded in Chinese sentences. ...
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[PDF] MWU-aware Part-of-Speech Tagging with a CRF model and lexical resources
[PDF] from 59.108.48.12
M Constant... - ACL HLT 2011, 2011 - 59.108.48.12
... 10CRF++ is an open-source toolkit to train and test CRF mod- els (http://crfpp. ... Tagger Model ACC
TnT HMM 96.3 TreeTagger Decision trees 96.4 SVMTool SVM 97.2 CRF-STD CRF 97.4 MElt
MaxEnt 97.6 CRF-STD+ CRF ... A maximum entropy model for part-of-speech tagging. ...
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Robust argumentative zoning for sensemaking in scholarly documents
[PDF] from nus.edu.sg
S Teufel... - Advanced Language Technologies for Digital ..., 2011 - Springer
... Finally we feed the feature vectors to the maximum entropy software2) to gen- erate models in
training ... splitting of sentences) as well as realistic, noisy input (using automatic 2 We use Le
Zhang's toolkit, available at: http://homepages.inf.ed.ac.uk/lzhang10/maxent toolkit.html ...
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[PDF] Expert-Driven Topical Classification of Short Message Streams
[PDF] from tamu.edu
KY Kamath... - Politics - students.cse.tamu.edu
... MaxEnt is based on the maximum entropy principle [3] and has been widely used for text ... principle
states to pick the the distribution p? ? C that yields the maximum entropy H(x ... Moving to the
following day, the classification models could be updated with the sliding window (now ...
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Entropic Fragment-Based Approach to Aptamer Design
CY Tseng, M Ashrafuzzaman... - Chemical Biology & ..., 2011 - Wiley Online Library
... We have, however, developed a model system to assess binding to PS using liposome technology
and can therefore ... a tool for updating information, rather than the MaxEnt will be used. When the
new ... locations and orientations corresponds to the global entropy maximum and is ...
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[PDF] Extracting Targets and Attributes of Medical Findings from Radiology Reports for Cross-Corpus Search
[PDF] from kaist.ac.kr
HS Oh, JB Kim... - 2011 - ir.kaist.ac.kr
... Table 5. Performance comparison on different sentence offset values (F1 score only) Offset Label
SVM NBC MaxEnt ... 1996. A maximum entropy approach to natural language processing.
Computational linguistics. ... A comparison of event models for naive bayes text classification. ...
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A Comparison of Different Machine Transliteration Models
[PDF] from arxiv.org
K Choi, H Isahara... - Arxiv preprint arXiv:1110.1391, 2011 - arxiv.org
... In this section, we describe our implementation of the four machine transliteration models (?G,
?P , ?H, and ?C) using three machine learning algorithms: memory-based learning,
decision-tree learning, and the maximum entropy model. ... 3.3.1 Maximum entropy model ...
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[PDF] Extracting Targets and Attributes of Medical Findings from Radiology Reports in a mixture of Languages
[PDF] from kaist.ac.kr
HS Oh, JB Kim... - 2011 - ir.kaist.ac.kr
... Table 5. Performance comparison on different sentence offset values (F1 score only) Offset Label
SVM NBC MaxEnt ... 1996. A maximum entropy approach to natural language processing.
Computational linguistics. ... A comparison of event models for naive bayes text classification. ...
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Beyond Flickr: Not All Image Tagging Is Created Equal
JL Klavans, R Guerra, R LaPlante, R Stein... - Workshops at the Twenty- ..., 2011 - aaai.org
... The Morphy lemma- tizer from Natural Language Toolkit (NLTK) (Bird, Klein, and Loper 2009 ...
The second advantage is that a Maximum Entropy model works by ex- tracting features from the ...
For the Stanford MaxEnt tagger we utilized the bidirectional-distsim-wsj-0-18.tagger ...
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[PDF] Twitter Polarity Classification with Label Propagation over Lexical Links and the Follower Graph
[PDF] from aclweb.org
M Speriosu, N Sudan, S Upadhyay... - EMNLP 2011, 2011 - aclweb.org
... datasets show that our label propagation approach ri- vals a model supervised with ... 3.2 Maximum
entropy classifier (MAXENT) The OpenNLP Maximum Entropy package7 is used to train ...
EMOTICON or HCR-TRAIN, henceforth referred to as EMO- MAXENT and GOLDMAXENT ...
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Tradeoffs in Accuracy and Efficiency in Supervised Learning Methods
[PDF] from umass.edu
L Collingwood... - 2011 - scholarworks.umass.edu
... yi(wT f(xi) + b) = 1 - ?i, ?i = 0. Maximum entropy is an exponential model with a simple intuition:
assume nothing about unknown attributes of the data but model all the known attributes. ... The
maximum entropy model has the following exponential form: p(x) = exp (?T f(x) Z? ) ...
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Prioritizing Literature Search Results Using a Training Set of Classified Documents
S Matos... - ... International Conference on Practical Applications of ..., 2011 - Springer
... The authors propose a classification and ranking model to evaluate the entire MEDLINE database
with respect to a topic ... MaxEnt Text+Lemmas+bigrams 0,629 0,655 0,567 0,365 0,491 The Naïve
Bayes and Maximum Entropy classifiers where trained using the Mallet toolkit [20 ...
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A comparative study on feature reduction approaches in Hindi and Bengali named entity recognition
SK Saha, P Mitra... - Knowledge-Based Systems, 2011 - Elsevier
... Bender et al. [2] used count-based feature reduction in a maximum entropy (MaxEnt)
based NER system. They ... iteratively. In each iteration, some set of candidates were
evaluated, and the best ones were added to the model. In Saha et al. ...
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[PDF] Modality Specific Meta Features for Authorship Attribution in Web Forum Posts
[PDF] from aclweb.org
T Solorio, S Pillay, S Raghavan... - aclweb.org
... with lexical information by combining the output with a bag- of-words Maximum Entropy classifier
and ... language model per author and each model generates a perplexity, or cross entropy, value
per ... E, is the combination of the PCFG with the bag-of-words MaxEnt model, and an ...
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Interruption Point Detection of Spontaneous Speech Using Inter-Syllable Boundary-Based Prosodic Features
CH Wu, WB Liang... - ACM Transactions on Asian Language ..., 2011 - dl.acm.org
... in speech. Several methods, including hidden Markov Model (HMM), Maximum
Entropy (MaxEnt) and CRF for combining knowledge sources involving both textual
information and prosodic cues, were examined. An early work ...
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[PDF] Learning Logical Structures of Paragraphs in Legal Articles
[PDF] from aclweb.org
NX Bach, N Le Minh, TT Oanh... - aclweb.org
... the kth model is learned from logical parts in the Layerk of training data, using Conditional random
fields (Lafferty et al., 2001; Kudo, CRF toolkit). ... problem is how to define the value function f. Our
solution is that, first we learn a binary classifier C using maximum entropy model. ...
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[PDF] Utilizing Various Natural Language Processing Techniques for Biomedical Interaction Extraction
[PDF] from jips-k.org
KM Park, HC Cho... - 2011 - jips-k.org
... We implemented the full parsing based argument relation identifier with the maximum entropy
model. ... For building classifiers, we utilized Zhang le's MaxEnt toolkit, and the L-BFGS parameter
estima- tion algorithm with Gaussian Prior smoothing [22]. 4.1 Experimental Results ...
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[PDF] Collaborative ranking: A case study on entity linking
[PDF] from cuny.edu
Z Chen... - Proc. EMNLP, 2011 - cs.gc.cuny.edu
... listwise loss, eg, cross entropy loss(Cao et al., 2007),cosine loss(Qin et al., 2007) ... pros: fully
consider relationship among objects cons: 1) less well studied in theory selected algorithms
Discriminative model for IR (Nallapati, 2004); McRank (Li et al., 2007) ...
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Using machine learning for concept extraction on clinical documents from multiple data sources
[HTML] from 171.67.114.118
M Torii, K Wagholikar... - Journal of the American ..., 2011 - jamia.bmjjournals.com
... O},28 indicating each token being the beginning of a concept phrase (B), inside of a concept
phrase (I), or outside of a concept phrase (O). Powerful machine learning algorithms for sequence
labeling include hidden Markov model (HMM),7 maximum entropy (MaxEnt) tagger,29 ...
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Automated classification of psychotherapy note text: implications for quality assessment in PTSD care
[PDF] from maveric.org
B Shiner, LW D'Avolio, TN Nguyen... - ... of Evaluation in ..., 2011 - Wiley Online Library
... To determine an appropriate model, ARC auto- matically iterates through various combinations
of features and ... MaxEnt proved to be slightly better suited for the task than CRFs. ... Maximum entropy
Canonical token 0.98 0.89 0.93 Canonical token, base token 0.98 0.89 0.93 ...
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[PDF] Uncertainty-based Active Learning with Instability Estimation for Text Classification
[PDF] from nlplab.cn
J ZHU... - nlplab.cn
... 5. EVALUATION 5.1 Settings We utilized a state-of-the-art maximum entropy (MaxEnt) model
(Berger et al., ... sources into a single, well-grounded statistical model. A publicly available MaxEnt
toolkit7 was used in our comparison experiments. To evaluate the ...
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Controlling complexity in part-of-speech induction
[PDF] from jair.org
JV Graça, K Ganchev, L Coheur, F Pereira... - Journal of Artificial ..., 2011 - dl.acm.org
... 5. The idea of replacing the multinomial models of an HMM by maximum entropy models is not
new ... to exclude word identity features for rare words in order to constrain the model and force ... all
rare words to the 'unk' token in the multinomial setting, the maxent model still captures ...
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[PDF] Tuning as ranking
[PDF] from rug.nl
M Hopkins... - Proc. of EMNLP, 2011 - acl.eldoc.ub.rug.nl
... 1The remainder either did not specify their tuning method (though a number of these used the
Moses toolkit (Koehn et al., 2007), which uses MERT for tuning) or, in one ... We now detail the three
language pairs, two feature scenarios, and two MT models used for our experiments. ...
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GeoCAM: A geovisual analytics workspace to contextualize and interpret statements about movement
[PDF] from josis.org
A Jaiswal, S Pezanowski, P Mitra, X Zhang... - Journal of Spatial ..., 2011 - josis.org
... and Maximum Entropy Markov Models (MEMMs) [26], which utilizes the interdepen- dency and
compared them with two models that do not, Naive Bayes [22], Maximum Entropy (MaxEnt) [4,
31]. ... We trained and evaluated three classifiers, Naive Bayes, Maximum Entropy and ...
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[PDF] Classification methods for finding articles describing protein-protein interactions in PubMed.
[PDF] from imbio.de
S Matos... - Journal of integrative bioinformatics, 2011 - journal.imbio.de
... probabilistic and machine learning based classifiers: Naive Bayes (NB), Maximum Entropy
(MaxEnt), and Support ... used in the texts, it is expected that classification models based on ... The
Naive Bayes and Maximum Entropy classifiers were implemented and trained using the ...
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[HTML] Quantum correlations in the thermodynamic limit: the XY-model
[HTML] from arxiv.org
J Batle, A Plastino, AR Plastino, M Casas... - Arxiv preprint arXiv: ..., 2011 - arxiv.org
... We present a semiclassical model of an atom moving in the evanescent field of a microtoroidal
resonator. ... Comments: 9 pages. Presented at MaxEnt 2011, The 31st International Workshop
on Bayesian Inference and Maximum Entropy Methods in Science and ...
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Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge
L Cai, G Zhou, K Liu... - ... of the 20th ACM international conference ..., 2011 - dl.acm.org
... Many researchers have employed machine learning methods (eg, maximum entropy and support
vector ma- chine) by using different ... Pml is computed using the maximum likelihood es- timator. ...
for training, and the GIZA++5 toolkit is used to learn the IBM translation model 1. The ...
Import into BibTeX
[PDF] Gender attribution: tracing stylometric evidence beyond topic and genre
[PDF] from aclweb.org
R Sarawgi, K Gajulapalli... - Proceedings of the Fifteenth ..., 2011 - aclweb.org
... Note that there has been no previous research that directly compares the performance of character-
level language models to that of PCFG based models for author attribution, not to mention for
gender at- tribution. 4.4 Bag of Words using Maximum Entropy (MaxEnt) Classifier ...
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The sum of its parts: reducing sparsity in click estimation with query segments
[PDF] from ipn.mx
D Hillard, E Manavoglu, H Raghavan... - Information ..., 2011 - Springer
... We chose a Maximum Entropy (maxent) model to estimate the CTR's because the learning
approach can be efficiently ... Maximum likelihood estimation for maxent is a well studied problem
(Minka 2003). ... for each cluster, and use a 1-in-k encoding as input in the maxent model. ...
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[PDF] Improving Phrase Extraction via MBR Phrase Scoring and Pruning
[PDF] from mt-archive.info
N Duan, M Li, M Zhou... - mt-archive.info
... Two MaxEnt-based POS taggers (Ratnaparkhi, 1996) are used to tag Chinese and English words ...
Xiong et al., 2006) with a lexicalized reordering component based on maximum entropy is used ...
Both the phrase table and the reordering model are trained on the same bilingual ...
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[PDF] Segmentation of Broadcast News Story Using Conditional Random Fields and Multimodal Features
[PDF] from nwpu-aslp.org
W Xiaoxuan, XIE Lei, LU Mimi, MA Bin... - nwpu-aslp.org
... Recently, support vector machine (SVM) [16] and maximum entropy (ME) models [9]
have also been used for story segmenta- tion. Despite years of study, most of the previous
research has focused on modeling features independently. ...
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[PDF] LEARNING SUB-WORD UNITS AND EXPLOITING CONTEXTUAL INFORMATION FOR OPEN VOCABULARY SPEECH RECOGNITION
[PDF] from jhu.edu
MC Parada - 2011 - clsp.jhu.edu
... 78 4.2 From Maximum Entropy to Conditional Random Fields ... Arisoy, Can, Parlak, Sak, and
Saraclar (2009), which presents a hybrid system for morphologically rich languages with very
large vocabulary sizes, concluding that hybrid approaches are capable of modeling a larger ...
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[PDF] Focusing on Novelty: A Crawling Strategy to Build Diverse Language Models
[PDF] from att.com
L Barbosa... - 2011 - web2.research.att.com
... are widely used in text classification: 2 Naive Bayes, Suppport Vector Ma- chines (SVM) and
Maximum Entropy (MaxEnt). ... SVM per- formed slightly better than MaxEnt for F-measure. ... The trigram
model is built using a language modeling toolkit [12], with Katz back-off scheme for ...
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Query-focused multi-document summarization: automatic data annotations and supervised learning approaches
Y CHALI... - Natural Language Engineering - Cambridge Univ Press
... the MaxEnt technique to text summarization and found that the maximum entropy classifier
produces ... supervised machine learning techniques, viz., SVMs, HMMs, CRFs, and MaxEnt, and
two ... ROUGE6 toolkit (Lin 2004) to measure sentence goodness against model summaries. ...
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Improving Korean verb-verb morphological disambiguation using lexical knowledge from unambiguous unlabeled data and selective web counts
S Kim, J Yoon, J Seo... - Pattern Recognition Letters, 2011 - Elsevier
... 326 = = == ≥= >â‹...<âˆ'= N i iii jij N i N j iji N i iD yts yyL 1 1 11 0,0.. 2 1 αα ααα xx (2) 327
For SVM learning, the LibSVM toolkit was used after construction of a feature vector ... For ME
learning, we use the Maxent toolkit9. ... A maximum entropy model for part-of-speech tagging ...
Import into BibTeX
[PDF] CUNY-BLENDER TAC-KBP2010
[PDF] from cuny.edu
Z Chen, S Tamang, A Lee, X Li, WP Lin... - nlp.cs.qc.cuny.edu
... We use the Alchemy toolkit (Kok et al., 2007) to encode inference rules such as those based
on traversing family trees. ... We develop a Maximum Entropy (MaxEnt) based supervised
re-ranking model to re-rank candidate answers for the same slot. ...
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The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks
B Zhou, X Cui, S Huang, M Cmejrek... - Computer Speech & ..., 2011 - Elsevier
... 4 (Brown et al., 1993), and the approaches based on hidden Markov models (HMM) (Vogel ... GIZA++
(Och and Ney, 2000) is a publicly available toolkit to extract word alignments from ... In practice,
we normally enforce a maximum phrase length during phrase extraction to reduce ...
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Domain adaptation for text categorization by feature labeling
[PDF] from shef.ac.uk
C Kadar... - Advances in Information Retrieval, 2011 - Springer
... L-BFGS, a quasi-Newton optimization method that estimates the model parameters. ... Dataset #
source labeled instances MaxEnt # source labeled features TransferLF on source TransferLF ...
from the source domain data only: a standard super- vised maximum entropy classifier as ...
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Knowledge-based nonuniform sampling in multidimensional NMR
AD Schuyler, MW Maciejewski, H Arthanari... - Journal of biomolecular ..., 2011 - Springer
... The entropy component of Eq. ... Rather than assigning a peak to the location of the local maximum
value (as done presently), it is possible to compute an off-grid ... Second, the nonlinear scaling
introduced by MaxEnt may additionally skew overlapping peak locations (Kubat et al. ...
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[PDF] An interdisciplinary VR-architecture for 3D chatting with non-verbal communication
[PDF] from epfl.ch
S Gobron, J Ahn, Q Silvestre, D Thalmann, S Rank... - vrlab.epfl.ch
... Specifically, we use three standard, probabilistic, state-of-the-art classifiers: a Language Model
[PSW03], a Naive Bayes [MS99] and a Maximum Entropy [NLM99] classifier. ... document D the
outcome of the classifiers is {Px(ob j|D),Px(pos|D)} where x = {LM,NB,MaxEnt} for each ...
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Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
[HTML] from 171.67.114.118
B de Bruijn, C Cherry, S Kiritchenko... - Journal of the American ..., 2011 - jamia.bmj.com
... Collins M. . Discriminative Training Methods for Hidden Markov Models: Theory and Experiments
with Perceptron Algorithms. ... [Web of Science]. ?: Ratnaparkhi A. . A Maximum Entropy
Part-of-Speech Tagger. ... http://maxent.sourceforge.net/index.html (accessed 21 Jun 2010). ...
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[PDF] Learning to transform and select elementary trees for improved syntax-based machine translations
[PDF] from ffzg.hr
B Zhao, YS Lee, X Luo... - Proc. of ACL, 2011 - hnk.ffzg.hr
... SCFG in general; in section 3, our proposed approach is explained in detail, including the
statistical operators using a MaxEnt model; in section ... for the given source tree ? together with
its neighborhood ¯m. Here, in our approach, we applied a Maximum Entropy model, which is ...
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Progressive Alignment and Discriminative Error Correction for Multiple OCR Engines
[PDF] from icdar2011.org
WB Lund, DD Walker... - Document Analysis and ..., 2011 - ieeexplore.ieee.org
... for training a maximum entropy model to select correct hypotheses from the aligned OCR
sequences. ... http://aspell.net/, 2008. [3] H. Baird. The State of the Art of Document Image
Degradation Modelling. ... Coarse-to-fine n-best parsing and MaxEnt discriminative reranking. ...
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[PDF] Single and multi-objective optimization for feature selection in anaphora resolution
[PDF] from aclweb.org
S Saha, M Poesio, A Ekbal... - 2011 - aclweb.org
... ranking), has interfaces to different machine learners (MaxEnt, SVM, deci- sion trees) and provides
a ... In the mention-pair model, anaphora resolution is recast as a binary classifica- tion problem ...
We train a maximum entropy classifier and fol- low the approach of (Soon et al., 2001 ...
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[PDF] Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification
[PDF] from hit.edu.cn
Y Zhao, B Qin, W Che... - World, 2011 - ir.hit.edu.cn
... A Maximum Entropy (ME) [28] Modeling Toolkitf is used for the common feature-based method,
our appraisal expression based (AppExp-based) method and the Combination method. ... f
http://homepages.inf.ed.ac.uk/s0450736/maxent toolkit.html Page 13. ...
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Named Entity Recognition
F Béchet - Spoken Language Understanding, 2011 - Wiley Online Library
... However, like for any semantic model, there is no consensus about what should be the ideal
set of categories to use in a NER task. ... The two ways of dealing with them is either to remove them
prior to NER or to modify the NER models in order to integrate such disfluencies. ...
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[PDF] Multi-aspect Sentiment Analysis with Topic Models
[PDF] from google.com
B Lu, M Ott, C Cardie... - sites.google.com
... [8] present MaxEnt-LDA, a maximum entropy hybrid model that discovers both aspects
and aspect-specific opinion words. ... 1In this work we sample all models for 1,000
iterations, with a 500- iteration burn-in and a sampling-lag of 10. ...
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[PDF] Multi-metric optimization for coreference: The UniTN/IITP/Essex submission to the 2011 CONLL Shared Task
[PDF] from 59.108.48.12
O Uryupina, S Saha, A Ekbal... - ACL HLT 2011, 2011 - 59.108.48.12
... It also has interfaces to different machine learners (MaxEnt, SVM, de- cision trees). ... Again
be- cause of time considerations, we used decision trees as implemented in Weka as
our classification model instead of maximum-entropy or SVMs. ...
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Computational Aspects of Lexical Functional Grammar
M Forst - Language and Linguistics Compass, 2011 - Wiley Online Library
... Since the late 1990s, finally, machine-learned models (typically maximum entropy models, support
vector machines or multi-layered artificial neural networks) based on basically arbitrary learning
that can be extracted from the syntactic analyses features (also called 'properties ...
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Predicting speculation: A simple disambiguation approach to hedge detection in biomedical literature
[HTML] from jbiomedsem.com
E Velldal - Journal of Biomedical Semantics, 2011 - jbiomedsem.com
... [3], where a maximum entropy (MaxEnt) classifier is ... [3], but is set within the framework of Support
Vector Machine (SVM) classification [8] instead of MaxEnt. ... test for paired samples, which in our
setting considers how often the classifier decisions of two given models differ (with ...
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Sensitivity enhancement for maximally resolved two-dimensional NMR by nonuniform sampling
D Rovnyak, M Sarcone... - Magnetic Resonance in ..., 2011 - Wiley Online Library
... so that NUS in two dimensions presents no added difficulty in the performance of MaxEnt. ... be
improved by about 5% if the NUS was a better model of the ... in the frequency domain obtained
by spectral estimation techniques such as maximum entropy reconstruction, although the ...
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Insulin-like growth factor binding protein-2: NMR analysis and structural characterization of the N-terminal domain
CA Galea, M Mobli, KA McNeil, TD Mulhern... - Biochimie, 2011 - Elsevier
... NUS datasets were processed using the maximum entropy (MaxEnt) reconstruction algorithm
implemented in the Rowland NMR Toolkit processing environment, using automatically
determined ... 2.5. Secondary structure prediction and 3D structure homology modelling. ...
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Integrating statistical genetic and geospatial methods brings new power to phylogeography
[PDF] from laurenchan.org
LM Chan, JL Brown... - Molecular Phylogenetics and Evolution, 2011 - Elsevier
... the WorldClim database 6 (Carnaval and Moritz, 2008; Hijmans et al., 2005) in Maxent 3.3.2 ...
Robertson et al., 2009; Figure 3A)were 9 used to generate species distribution models for four
time periods - present day, 10 mid-Holocene (6 kya), last glacial maximum (LGM, 21 ...
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[PDF] A stochastic collocation method for uncertainty quantification and propagation in cardiovascular simulations
[PDF] from ucsd.edu
S Sankaran... - Journal of Biomechanical ..., 2011 - maeresearch.ucsd.edu
... of input PDFs can be made using data-driven techniques such as MaxEnt [25 ... with roughly 80,000
ele- ments, which ensured spatial convergence, was generated for each AAA model. ... For more
complex input data, maximum entropy techniques can be used to compute the input ...
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[PDF] Integrating Source-Language Context into Log-Linear Models of Statistical Machine Translation
[PDF] from dcu.ie
R Haque - 2011 - computing.dcu.ie
... TM Translation Model LM Language Model MERT Minimum Error-Rate Training HMM Hidden
Markov Model AER Alignment Error Rate SVM Support Vector Machine MaxEnt Maximum Entropy
LDC Linguistic Data Consortium BTEC Basic Travel Expression Corpus ...
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[PDF] Evaluating the impact of coder errors on active learning
[PDF] from 59.108.48.12
I Rehbein... - Proceedings of the 49th Annual Meeting ..., 2011 - 59.108.48.12
... 3 http://maxent.sourceforge.net 4The MaltParser: http://maltparser.org 5The split has been made ...
0.735 0.718 entropy - ALbias 0.806 0.793 0.759 0.748 0.702 0.651 0.625 0.630 0.622 entropy
y ALbias ... In the next step we train n = 5 maximum en- tropy classifiers on subsets of ...
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Developing methodology for Korean particle error detection
[PDF] from rug.nl
M Dickinson, R Israel... - Proceedings of the 6th Workshop on ..., 2011 - dl.acm.org
... We use the Maximum Entropy Toolkit (Le, 2004) for machine learning ... Table 1 shows the results
of the MaxEnt system for step 1, using training data built for the topics in ... the ones implemented
in Criterion (see Leacock et al., 2010), as well as a language model approach (Gamon ...
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Landscape-scale dynamics and restoration of dryland forest ecosystems
A Newton, E Cantarello, N Tejedor... - ... and Practice of ..., 2011 - books.google.com
... II '! El-Ii 55-III The above maps illustrate LANDIS-11 model output, for the different disturbance
scenarios con- ducted in QIIIIPUC, Chile, over a period of ZOO years. The different colours
on the maps refer to different maximum ages of the forest stands. ...
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Regulation of alternative splicing by the core spliceosomal machinery
[HTML] from nih.gov
AL Saltzman, Q Pan... - Genes & Development, 2011 - genesdev.cshlp.org
... for exons profiled by RNA-seq were calculated using maximum entropy models (Yeo and ...
Massachusetts Institute of Technology (http://genes.mit.edu/burgelab/maxent/
Xmaxentscan_scoreseq.html ... criteria (n = 3173) using Web-based Gene Set Analysis Toolkit ( ...
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[PDF] A Memory-Based Tagger for Polish
[PDF] from wroc.pl
TS Adam Radziszewski - nlp.pwr.wroc.pl
... that some improvement could be obtained by removing less significant attributes from the model. ...
(Sniatowski, 2011) adds a fourth tagger, a pro- totype maximum entropy tagger of ... RFTagger 89.78%
0.05% 3-way Voting 93.96% 0.06% WMBT 93.16% 0.09% maxent 89.70% 0.12 ...
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diviText: visualizing text segmentation for text mining.
[PDF] from simmons.edu
AC Jones - 2011 - scholar.simmons.edu
... Maximum Entropy w ximum intropy @w xintA l ssifiers use st tisti l methE ods of multinomi l logisti
regression to orre t for the unre listi ... toolkit for n tur ll ngu ge pro essing through st tisti sF e few
p ilities in lude text lusteringD do ument l ssifi tionD nd topi modeling @wg llumD ...
Import into BibTeX
A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies
A Ekbal... - Expert Systems with Applications, 2011 - Elsevier
... Diverse classification methods such as Maximum Entropy (ME), Conditional Random
Field (CRF) and Support Vector Machine (SVM) are used to build different models
depending upon the various representations of the available features. ...
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Affirmative Cue Words in Task-Oriented Dialogue
A Gravano, J Hirschberg... - Computational Linguistics, 2011 - MIT Press
... subclass of cue phrases or dialogue acts. Some have attempted to model other types ... diately
following w (see Table 4). POS tags were labeled automatically for the whole corpus using
Ratnaparkhi's (1996) maxent tagger trained on a subset of the Switchboard ...
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Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency
[PDF] from colorado.edu
S Verma, S Vieweg, WJ Corvey, L Palen... - Fifth International AAAI ..., 2011 - aaai.org
... Therefore, automatic topic modeling of tweet content is an ongoing interest (Ramage et al., 2010).
386 Page 3. ... Classification Methods We experimented with two standard machine-learning methods
for classification, Naïve Bayes (NB) and Maximum Entropy (MaxEnt). ...
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[PDF] NewsX
[PDF] from tu-dresden.de
M Wunderwald... - 2011 - rn.inf.tu-dresden.de
... The typical representation of a stochastic model is a probabilistic network that represents ... statistical
evidence from different sources, that is based on the Maximum Entropy (ME) Principle. ... call
multinominal logistic regressions (in fields of language processing also called MaxEnt). ...
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Multiobjective Simulated Annealing Based Approach for Feature Selection in Anaphora Resolution
A Ekbal, S Saha, O Uryupina... - Anaphora Processing and ..., 2011 - Springer
... ranking), has interfaces to different machine learn-ers (MaxEnt, SVM, decision trees) and provides
a ... pair model without rank- ing as in [19].In the mention-pair model, anaphora resolution ... We train
a maximum entropy classifier and follow the approach of [19] to partition mentions ...
Import into BibTeX
Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition
A Ekbal... - International Journal on Document Analysis and ..., 2011 - Springer
... The probability distribution that satisfies the above property is the one with the highest entropy.
It is unique, agrees with the maximum likelihood distribution, and has the exponential form ... We
use the Generalized Iterative Scaling [45] algorithm to estimate the MaxEnt parameters. ...
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[PDF] A De-identifier For Electronic Medical Records Based On A Heterogeneous Feature Set
[PDF] from mit.edu
A Tafvizi - 2011 - groups.csail.mit.edu
... 46 8 Page 9. 4.3 Model Construction . . . . . 46 ... 60 7.2.2 More Sophisticated Text Pre-Processing . . . . .
60 7.2.3 The Two-Stage Model . . . . . 60 7.2.4 Feature Selection . . . . . ...
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Parallel sentence generation from comparable corpora for improved SMT
S Abdul Rauf... - Machine Translation, 2011 - Springer
... Furthermore, instead of a max- imum entropy (MaxEnt) classifier, simple measures such as word
error ... They use sentence- and lexicon-based methods com- bined under a maximum likelihood
criterion. ... a sentence pair is parallel or not is performed by a MaxEnt classifier trained ...
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[DOC] Conservation and Sustainable Use of PGRFA: a Toolkit for National Strategy Development
[DOC] from bham.ac.uk
N Maxted, JM Brehm... - pgrsecure.bham.ac.uk
... HYPERLINK "D:\\Pos_PhD\\2010_2011_FAO_Toolkit\\toolkit\\toolkit\\toolkit_August2011\\
PGRFA_Toolkit_DRAFT_28_08_11_joana3.doc" \l "_Toc302507174" **Box 15. SPECIES
DISTRIBUTION MODELS * PAGEREF _Toc302507174 \h **98**. ...
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[PDF] Exploiting Parse Structures for Native Language Identification
[PDF] from aclweb.org
SMJ Wong... - aclweb.org
... For our experiments we used a maximum entropy (MaxEnt) machine learner, MegaM4 (fifth
release) by Hal Daumé III. ... more quickly as number of features in- creased, so we only report the
MaxEnt results here). The classifier is tuned to obtain an optimal classifi- cation model. ...
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[PDF] SEARCHING A WEBSITE VIA SPOKEN QUESTIONS
[PDF] from boun.edu.tr
M Durukal - 2011 - busim.ee.boun.edu.tr
... HMI Human Machine Interface HMM Hidden Markov Model HTML Hyper Text Markup Language
IDF Inverse Document Frequency IR Information Retrieval LG Language Generation MALLET
MAchine Learning for LanguagE Toolkit QA Question Answering ...
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A statistical confidence measure framework for probabilistic parsing
[PDF] from upv.es
R SÁNCHEZ SÁEZ - 2011 - riunet.upv.es
... In that work, confidence is measured by Rényi entropy. ... Thus, the parse tree is obtained through
a chosen parsing algorithm which uses a stochastic model. ... used in parsing for sev- eral tasks,
for example, learning the stochastic information of PCFGs by maximum log-likelihood. ...
Import into BibTeX
[PDF] Joint bilingual sentiment classification with unlabeled parallel corpora
[PDF] from gatech.edu
B Lu, C Tan, C Cardie... - ... of the 49th Annual Meeting of ..., 2011 - fodava.gatech.edu
... Maximum entropy (MaxEnt) models1 have been widely used in many NLP tasks (Berger et al.,
1996; Ratnaparkhi, 1997 ... Maximum likelihood parameter estimation (training) for such a model,
with a set of labeled examples , amounts to ... With MaxEnt, we learn from the input data: ...
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Rotating Stars and Revolving Planets: Bayesian Exploration of the Pulsating Sky
[PDF] from arxiv.org
TJ Loredo - Arxiv preprint arXiv:1107.5805, 2011 - arxiv.org
... Set the test size a (the maximum p-value we will accept as indicating the actual signal is not ...
Physicists know its logarithm as the configura- tional entropy of the {nj }. In fact, I devised this
model specifically to obtain this result, formalizing a clever intuition of Gregory's that entropy ...
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[PDF] Toward Improving the Automated Classification of Metonymy in Text Corpora
[PDF] from rochester.edu
FMO Ferraro - 2011 - urresearch.rochester.edu
... Using a pre-existing dataset of thousands of samples, we formulate the hypothesis that
a better modeling of the underlying syntactic, semantic and conceptual meanings within
a document (sample) can aid automated metonymy classification. ...
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[PDF] Semantic Role Labeling Without Treebanks?
[PDF] from aclweb.org
SA Boxwell, C Brew, J Baldridge, D Mehay... - aclweb.org
... The system is organized in a two- stage pipeline of maximum entropy models3, fol- lowing the ...
ARG1, and so on (figure 4). The identification model and the classification model share the ... 3We
use the Zhang Le maxent toolkit, available at http://homepages.inf.ed.ac.uk/s0450736 ...
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Identifying relevant data for a biological database: Handcrafted rules versus machine learning
[PDF] from tufts.edu
AK Sehgal, S Das, K Noto... - ... IEEE/ACM Transactions ..., 2011 - ieeexplore.ieee.org
... We use a maximum-entropy classifier, implemented as part of the MALLET toolkit [27].6 For the ...
5. We also evaluated the naive Bayes classifier, using the Rainbow toolkit [26]. ... 6. MALLET also
has an implementation of naive Bayes but the discriminative MaxENT model proved to ...
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Named entity recognition in Bengali and Hindi using support vector machine
A Ekbal... - Lingvisticae Investigationes, 2011 - ingentaconnect.com
... 1999)), Maximum Entropy (ME)(New York University's MENE (Borthwick 1999; Borthwick et al. ...
2000) introduced a hybrid system by combining HMM, MaxEnt and handcrafted ... The SVM model
has an equivalent dual formulation, characterized by a weight vector a and a bias b. In ...
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Rotating Stars and Revolving Planets: Bayesian Exploration of the Pulsating Sky
JM Bernardo, MJ Bayarri, JO Berger... - Bayesian ..., 2011 - books.google.com
... Set the test size a (the maximum p-value we will accept as indicating the actual signal is not ...
Physicists know its logarithm as the configura- tional entropy of the {nj}. In fact, I devised this model
specifically to obtain this result, formalizing a clever intuition of Gregory's that entropy ...
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Filtering and clustering relations for unsupervised information extraction in open domain
[PDF] from limsi.fr
W Wang, R Besançon, O Ferret... - Proceedings of the 20th ACM ..., 2011 - dl.acm.org
... Classically, we trained a Naive Bayes classifier, a Maximum Entropy classifier (MaxEnt), a
Decision Tree and a Support Vector Machine classifier (SVM). The first three models were
implemented using the tools provided by MALLET [22] while the last model was implemented ...
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[PDF] Inspecting Sample Reusability for Active Learning
[PDF] from mit.edu
K Tomanek... - jmlr.csail.mit.edu
... For AL with a NB and a MaxEnt-based selector, the confidence is estimated as the margin between ...
For maximum margin classification, the decision value d(x) = <w,x> + b indicates the distance
of an ... Entropy utility function quantifies disagreement (Engelson and Dagan, 1996) ...
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[PDF] Email formality in the workplace: a case study on the Enron corpus
[PDF] from aclweb.org
K Peterson, M Hohensee... - ACL HLT 2011, 2011 - aclweb.org
... 3 Performance of the formality classifier We trained a Maximum Entropy (MaxEnt) classi- fier in
the Mallet package ... 2 Performance of the request classifier We trained a MaxEnt classifier and
ran 10-fold cross ... Constructing Business Email Messages: A Model of Writer's Choice. ...
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[PDF] Goodness: A method for measuring machine translation confidence
[PDF] from aclweb.org
N Bach, F Huang... - ... Annual Meeting of the Association for ..., 2011 - aclweb.org
... The parallel sentences have word alignment au- tomatically generated with HMM and MaxEnt
word aligner (Ge, 2004; Ittycheriah and Roukos, 2005). Bilingual phrase translations are extracted
from these word-aligned parallel corpora. The language model is a 5-gram model ...
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[PDF] Basic Design of the architecture and methodologies (second round)
[PDF] from upc.edu
G Rigau, B Magnini... - lsi.upc.edu
... 3.4.4 English • XML input/output added to RASP system. • Multiword recognizer: data extracted
and integrated. • NE Recognizer: maximum entropy model-based, trained on CONNL data,
and inte- grated. 3.4.5 Italian • NE Recognizer: porting to Italian done. ...
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Turn-taking cues in task-oriented dialogue
[PDF] from columbia.edu
A Gravano... - Computer Speech & Language, 2011 - Elsevier
... We examine the same question for backchannels. In Section 2 we discuss previous work
on modeling turn-taking and on end-of-turn detection. ... As part of a larger project on
modeling discourse structure in American English, Jurafsky et al. ...
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[PDF] Effective measures of domain similarity for parsing
[PDF] from aclweb.org
B Plank... - Proceedings of the 49th Annual Meeting of the ..., 2011 - aclweb.org
... a Language Model based on a scoring mechanism that compares cross- entropy scores. ... is a
property that "makes it unsuitable for distributions derived via maximum- likelihood estimates ...
proach on English PoS tagging using two different taggers: MXPOST, the MaxEnt tagger of ...
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[PDF] Identifying the Gist of Conversational Text: Automatic Keyword Extraction and Summarization
[PDF] from utdallas.edu
F Liu, Y Liu, C Busso, S Harabagiu... - 2011 - hlt.utdallas.edu
... performance. These properties were incorporated in both unsupervised Maximum Marginal ...
automatically collected a large set of noisy training pairs using a novel web-based approach,
and aligned them at the character level for modeling training. For Twitter topic summariza- ...
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The Yale cTAKES extensions for document classification: architecture and application
[HTML] from 171.67.114.118
V Garla, VL Re, Z Dorey-Stein... - Journal of the ..., 2011 - jamia.bmjjournals.com
... Extraction System (caTIES).10-13 The open-source WEKA data-mining toolkit has been ... cTAKES
uses the OpenNLP Maximum Entropy package for sentence detection, tokenizing, part-of-speech
tagging ... the online appendix for a detailed description of the data model.28 YTEX ...
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Molecular evolution and historical biogeography of new world birds
[PDF] from unlv.edu
BT Smith - 2011 - digitalcommons.library.unlv.edu
... variables (BIO1, BIO2, BIO5, BIO6, BIO8, BIO9, BIO10, BIO12, BIO13, BIO15 and BIO18). I
generated five replicate models for each separate clade identified from our phylogenetic analysis
using the maximum entropy algorithm in MAXENT 3.3.3 (Phillips et al. 2006). ...
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Information extraction from chemical patents
[PDF] from cam.ac.uk
DM Jessop - 2011 - dspace.cam.ac.uk
... JVM Java Virtual Machine MEMM Maximum Entropy Markov Model NLP Natural Language
Processing ... researcher's lab book, effectively lost to the community, while the traditional business
model of a journal requires the erection of paywalls. ... toolkits in the Unilever Centre. ...
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A parser-based approach to detecting modification of biomedical events
A MacKinlay, D Martinez... - ... workshop on Data and text mining ..., 2011 - dl.acm.org
... classifiers described in Section 2 as a source of trigger annotations, selecting the
combination with the best performance over the development set. We used a maximum
entropy classifier, by applying Zhang Le's Maxent Toolkit.4 ...
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[PDF] Unterstützung kollaborativer Schreibprozesse durch ausgewählte Verfahren der Computerlinguistik
[PDF] from tu-clausthal.de
S Groß, N Pinkwart... - hcis.in.tu-clausthal.de
... II Page 6. API Application Programming Interface, Programmierschnittstelle CSCW Computer
Supported Cooperative Work, computerunterstützte Gruppenarbeit ERM Entity-Relationship-
Model, Gegenstand-Beziehung-Modell FIFO First In - First Out ...
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[PDF] Estimation d'un modèle de traduction à partir d'alignements mot-à-mot non-déterministes
[PDF] from lirmm.fr
NTAAF Yvon - lirmm.fr
... Keywords: statistical machine translation, phrase based translation models, word alignment
models. ... PostCAT (Posterior Constrained Alignment Toolkit) propose une implémentation des
modèles HMM permettant d'injecter ... à la section 3. Il s'agit d'un classifieur MaxEnt qui prédit ...
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[PDF] Personal sense in subjective language research in the blogosphere
[PDF] from upv.es
P Panicheva - users.dsic.upv.es
... judgments about quality. The model was trained with the Sequential Minimal Optimization
[Platt, 1998] algorithm. ... personality traits, using n-grams as features, and proceed to test
the resulting model on a larger corpus in [Oberlander et al, 2007]. ...
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[PDF] Recognition of Multiple Speech Sources using ICA
[PDF] from ruhr-uni-bochum.de
E Hoffmann, D Kolossa... - ruhr-uni-bochum.de
... where H(g(Y)) is the joint entropy of g(Y). This is known as the information maximization approach ...
In [36] the permu- tation problem was solved using a maximum-likelihood-ratio criterion between
the adjacent frequency ... For this purpose, the following signal model is assumed ...
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Integrating source-language context into phrase-based statistical machine translation
R Haque, SK Naskar, A van den Bosch... - Machine Translation, 2011 - Springer
... (2007) propose an SMT architecture based on stochastic finite state transducers that addresses
global lexical selection in which parameters are discriminatively trained using a MaxEnt model
consider- ing n-gram features from the source sentence. Ittycheriah et al. ...
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