User simulations for context-sensitive speech recognition in spoken dialogue systems
[PDF] from aclweb.org
O Lemon - Proceedings of the 12th Conference of the European ..., 2009 - dl.acm.org
... The results, obtained using TiMBL and an n-gram User Sim- ulation, show a significant relative
reduction of Word Error Rate of 5% (this is 44% of the pos- sible WER improvement on this data ...
Clearly, this improvement would result in better dialogue system performance overall. ...
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Combining acoustic and pragmatic features to predict recognition performance in spoken dialogue systems
[PDF] from upenn.edu
M Gabsdil, O Lemon - Proceedings of the 42nd Annual Meeting on ..., 2004 - dl.acm.org
... The approach is novel in combining machine learning with n-best processing for spoken dialogue
systems using the Information State Update approach. Our best results, obtained using TiMBL
with op- timized parameters, show a 25% weighted f-score improvement over a ...
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[PDF] Context-based Re-ranking and Grounding Classification of N-Best Hypotheses
[PDF] from psu.edu
R Jonson - 2008 - Citeseer
... To see if it would be possible to automate this task for application in dialogue systems we have
used the memory-based learner TiMBL (Daelemans et al., 2001) to inves- tigate the optimization
and variability of the ac- curacy of re-ranking and grounding classification of speech ...
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[PDF] TiMBL: Tilburg Memory-Based Learner
[PDF] from uvt.nl
W Daelemans, J Zavrel, K Van der Sloot... - 2009 - ilk.uvt.nl
Page 1. TiMBL: Tilburg Memory-Based Learner version 6.2 Reference Guide
ILK Technical Report - ILK 09-01 Walter Daelemans* Jakub Zavrel*† Ko van
der Sloot Antal van den Bosch ... 11 4.2 Using TiMBL . . . . . ...
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[PDF] Transformation-based and Memory-based Learning for Detecting Speech Recognition Errors
[PDF] from psu.edu
G Skantze - 2008 - Citeseer
... Since many interpretation modules in dialogue systems are mainly dependent on content words,
the performance of these are important for detection. ... This gives a baseline of 69.8%. For these
words, the scores for the classifiers were 87.7% (µ-TBL) and 87.0% (TiMBL). ...
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Multi-level information and automatic dialog act detection in human-human spoken dialogs
[PDF] from cnrs.fr
S Rosset, D Tribout... - Speech Communication, 2008 - Elsevier
... Most dialog systems exploit the information present at the lexical and semantic levels. ... The
IB1-IG implementation of Machine Based Learning from the TiMBL software package (Daelemans
et al., 2003) was employed using the Manhattan distance, one of the most basic metrics ...
Cited by 11 - Related articles - All 18 versions - Import into BibTeX
Dialogue context-based re-ranking of ASR hypotheses
[PDF] from pitt.edu
R Jonson - Spoken Language Technology Workshop, 2006. ..., 2006 - ieeexplore.ieee.org
... To see if it would be possible to automate this 175 Page 3. task for application in
dialogue systems we have used the memory-based learner TiMBL [10] to re-rank
ASR hypothe- ses. We have experimented with different features ...
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[PDF] Reordering Attachment Candidates in the CSLI Dialogue System's DMT
[PDF] from stanford.edu
F Ratiu - 2009 - cs229.stanford.edu
... 4 4. Data Collection Data used for these experiments was collected during several user sessions
in which the performance of this dialogue system was evaluated. ... The machine learning approach
(ML-Reorder) uses classification obtained from the memory based learner TiMBL. ...
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Visinav: A system for visual search and navigation on web data
A Harth - Web Semantics: Science, Services and Agents on the ..., 2010 - Elsevier
... However, there is the open question of how end users should express complex queries over
such datasets. A promising approach is to use a menu-based dialogue system in which users
construct the query incrementally [34] and [38]. ... 2, Information available about timbl:i. ...
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Classifying non-sentential utterances in dialogue: A machine learning approach
[PDF] from kcl.ac.uk
R Fernández, J Ginzburg... - Computational Linguistics, 2007 - dl.acm.org
... is to develop a classification model whose output can be fed into a dialogue processing
system-be it a full dialogue system or, for ... four machine learn- ing systems: the rule induction
learner SLIPPER (Cohen and Singer 1999), the memory-based learner TiMBL (Daelemans et ...
Cited by 14 - Related articles - BL Direct - All 23 versions - Import into BibTeX
[PDF] Dialogue Context-Based Speech Recognition using User Simulation
[PDF] from sevas.org.in
I Konstas - 2008 - sevas.org.in
... alignment with the true transcript. Their approach to the problem is in two steps: first they use
TiMBL (Daelemans et al., 2007), a memory based classifier, in order to pre- ... < crosstalk. The
corpus used was extracted with the WITAS dialogue system (Lem- ...
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[PDF] Cue-Based Dialogue Act Classification
[PDF] from shef.ac.uk
N Webb - 2010 - nlp.shef.ac.uk
... This includes the role das can play in practical applications such as dialogue systems de-
velopment and evaluation. ... linguistics, recent work, closely linked to the development and
deployment of spoken language dialogue systems, has focused on the some of the more ...
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Method and apparatus for providing proper or partial proper name recognition
F Weng, L Zhao - US Patent 7,865,356, 2011 - Google Patents
... Consequently, the spo- ken dialog systems and/or information extraction programs may be
improved. BRIEF DESCRIPTION OF THE DRAWINGS FIG. ... Page 11. US 7,865,356 B2 is a
normalization factor. 3 4 "Timbl", which was used to perform the experiments described herein. ...
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[PDF] Machine learning techniques in dialogue act recognition
[PDF] from rakenduslingvistika.ee
M Fišel - Estonian Papers Applied Linguistics, 2007 - rakenduslingvistika.ee
... Hagen and Popowich (2000) describe a dialogue system which is based on a grammar of
dialogue acts, which is used to determine the ... well as a comprehensive description of
memory-based learning can be found in the Tilburg Memory-Based Learner (TiMBL) reference ...
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Reducing recognition error rate based on context relationships among dialogue turns
[PDF] from mit.edu
HC Wu... - Eighth Annual Conference of the International ..., 2007 - isca-speech.org
... The goal is to both provide a confidence score and to reduce recognition error, in a dialogue
system in- ... Machine learning approaches used include the memory based learner TiMBL [3, 1]
and the rule induction learner RIP- PER [4, 1]. Below are two examples of typical learned ...
Cited by 3 - Related articles - All 10 versions - Import into BibTeX
An information state based dialogue manager for a mobile robot
[PDF] from psu.edu
M Quinderé, LS Lopes... - Eighth Annual Conference ..., 2007 - isca-speech.org
... Information State Approach Dialogue Systems can be divided into [2]: Finite State Systems,
Frame-Based Systems and Advanced Systems, which ... The semantic ex- traction can be shallow -
performed by Tilburg Memory Based Learner (TiMBL) or deep - performed by LCFlex ...
Cited by 3 - Related articles - All 6 versions - Import into BibTeX
[PDF] Classifying Non-Sentential Utterances in Dialogue: A Machine Learning Approach
[PDF] from sas.ac.uk
S Lappin, R Fernandez... - Computational Linguistics, 2007 - sas-space.sas.ac.uk
... is to develop a classification model whose output can be fed into a dialogue processing
system-be it a full dialogue system or, for ... four machine learn- ing systems: the rule induction
learner SLIPPER (Cohen and Singer 1999), the memory-based learner TiMBL (Daelemans et ...
Cited by 1 - Related articles - View as HTML - All 2 versions - Import into BibTeX
[PDF] Results of the French Evalda-Media evaluation campaign for literal understanding
[PDF] from brandeis.edu
H Bonneau-Maynard, C Ayache, F Bechet... - LREC' ..., 2006 - pages.cs.brandeis.edu
... 2003. Timbl: Tilburg memory based learner, v5.0, reference guide. In ILK Technical Report
ILK-03-10. A. Denis, M. Quignard, and G. Pittel. 2006. A deep- parsing approach to natural
language understanding in dialogue system: Results of a corpus-based evaluation. In LREC. ...
Cited by 28 - Related articles - View as HTML - All 12 versions - Import into BibTeX
Memory-Based Learning
[PDF] from ua.ac.be
W Daelemans... - The Handbook of ..., 2010 - Wiley Online Library
... TiMBL is an open source software package implementing all algorithms and metrics discussed
here.1 First, a visual example serves to ... dialogue history features (eg, pre- vious dialogue acts),
and acoustic features of recognized speech in the context of spoken dialogue systems. ...
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Visinav: Visual web data search and navigation
[PDF] from psu.edu
A Harth - Database and Expert Systems Applications, 2009 - Springer
... A promising approach is to use a menu-based dialogue system in which users incrementally
construct the query [17] [19]. ... a-Friend, http://foaf-project.org/ 5 Semantically Interlinked Online
Communities, http://sioc-project.org/ 6 Dublin Core, http://dublincore.org/ 7 timbl:i expands ...
Cited by 10 - Related articles - All 8 versions - Import into BibTeX
WALTER DAELEMANS AND
AVAN den BOSCH - The Handbook of Computational ..., 2010 - books.google.com
... TiMBL is an open source software package implementing all algorithms and metrics discussed
here. ... be a mix of bag-of-word features, dialogue history features (eg, pre- vious dialogue acts),
and acoustic features of recognized speech in the context of spoken dialogue systems. ...
Import into BibTeX
[PDF] Machine learning for shallow interpretation of user utterances in spoken dialogue systems
[PDF] from cam.ac.uk
P Lendvai, A van den Bosch... - ... on Dialogue Systems: ..., 2003 - cl.cam.ac.uk
... We hypothesize that with the use of additional features the current perfor- mance would improve,
so that eventually it could be integrated and tested in the context of a spoken dialogue system
to achieve more ... TiMBL: Tilburg memory based learner, version 4.3, reference guide. ...
Cited by 24 - Related articles - All 15 versions - Import into BibTeX
Unified treatment of data-sparseness and data-overfitting in maximum entropy modeling
F Weng... - EP Patent 1,783,744, 2007 - freepatentsonline.com
... If the speech recognizer 101 for the exemplary dialog system does not produce class labels for
the class-based statistical language models, a ... A memory-based learning package that may be
used is Timbl, which is discussed, for example, by Daelemans, ''TIMBL: Tilburg Memory ...
Related articles - Cached - All 2 versions - Import into BibTeX
[PDF] Dialogue Act Recognition Techniques
[PDF] from psu.edu
M Fishel - GSLT/NGSLT course on dialogue systems: Linkoping ..., 2006 - Citeseer
... (Fernandez et al., self-defined SLIPPER linguistic and 87% 2005) antecedent TIMBL (same) 87%
MaxEnt (same) 87% (Sanchis and Castro, self-defined MLP reduced lexicon 92% 2002) BoW
Table 1: DA recognition in dialogue systems 18 Page 19. project DA
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[PDF] Memory-based understanding of user utterances in a spoken dialogue system: Effects of feature selection and co-learning
[PDF] from uvt.nl
A Van den Bosch - Workshop Proceedings of the 6th International ..., 2005 - arno.uvt.nl
... Daelemans, W., Zavrel, J., van der Sloot, K., van den Bosch, A.: TiMBL: Tilburg Memory Based
Learner, version 5.1, Reference guide. ... Lendvai, P., van den Bosch, A., Krahmer, E.: Machine
learning for shallow interpre- tation of user utterances in spoken dialogue systems. ...
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[PDF] Using dialogue context to improve parsing performance in dialogue systems
[PDF] from unam.mx
I Meza-Ruiz, O Lemon - International Workshop on ..., 2005 - turing.iimas.unam.mx
Page 1. Using Dialogue Context to Improve Parsing Performance in Dialogue Systems Ivan
Vladimir Meza-Ruiz T H E U NIVER S I T Y ... rest of the thesis. 1.1 Dialogue Systems There is a
wide range of dialogue systems which have been developed, or which are ...
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Classifying ellipsis in dialogue: a machine learning approach
[PDF] from upenn.edu
R Fernández, J Ginzburg... - Proceedings of the 20th ..., 2004 - dl.acm.org
... et al., to ap- pear), we implemented G&S's analysis of di- rect sluices as part of an interpretation
module in a dialogue system. ... The second, TiMBL, uses a memory-based ma- chine learning
procedure to classify a sluice by generalising over similar environments in which the ...
Cited by 29 - Related articles - All 28 versions - Import into BibTeX
SYSTEMS AND METHODS FOR FILTERING DICTATED AND NON-DICTATED SECTIONS OF DOCUMENTS
AB Carus, L Lapshina... - US Patent ..., 2011 - freepatentsonline.com
... 20050055205, Intelligent user adaptation in dialog systems, March, 2005, Jersak et al. ... Still
other embodiments may employ the IGTree and IB algorithms of the TiMBL machine-learning
classifier system to generate accurate and compact classifiers. ...
Cached - Import into BibTeX
From robust spoken language understanding to knowledge acquisition and management
[PDF] from pitt.edu
LS Lopes, AJS Teixeira, M Quinderé... - Ninth European ..., 2005 - isca-speech.org
... Wielenga et al.(eds.), (1990) IOS Press, Amsterdam [4] Daelemans, W., J. Zavrel, A. van den
Bosch, and K. van der Sloot.: TiMBL: Tilburg Memory ... [12] Seabra Lopes, L., A. Teixeira, M.
Quinderé, A Knowl- edge Representation and Reasoning Module for a Dialogue System in a ...
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Early error detection on word level
[PDF] from psu.edu
G Skantze... - COST278 and ISCA Tutorial and Research ..., 2004 - isca-speech.org
... 2003). TiMBL: Tilburg Memory Based Learner, version 5.0, Reference Guide. ILK
Technical Report 03-10. [9] Skantze, G. (2003). Exploring Human Error Handling
Strategies: Implications for Spoken Dialogue Systems. In Proceedings ...
Cited by 22 - Related articles - All 9 versions - Import into BibTeX
[PDF] Using machine learning for non-sentential utterance classification
[PDF] from uni-potsdam.de
R Fernández, J Ginzburg... - Proceedings of the Sixth ..., 2005 - ling.uni-potsdam.de
... Punctuation tags (that would correspond to intona- tion patterns in a spoken dialogue system)
help to extract the values of these features ... im- plement three different learning strategies: SLIP-
PER, a rule induction system presented in (Cohen and Singer, 1999); TiMBL, a memory ...
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Towards finding and fixing fragments: Using ML to identify non-sentential utterances and their antecedents in multi-party dialogue
[PDF] from upenn.edu
D Schlangen - Proceedings of the 43rd Annual Meeting on ..., 2005 - dl.acm.org
... TIMBL (Tilburg Memory-Based Learner), (Daelemans et al., 2003), which implements a
memory-based learning algorithm (IB1) which pre- dicts the class of a test data point by looking
at its distance to all examples from the training data, us- ing some distance metric. ...
Cited by 9 - Related articles - BL Direct - All 22 versions - Import into BibTeX
[PDF] About the Usefulness and Learnability of Argument-Diagrams from Real Discussions
[PDF] from amiproject.org
R Rienks... - Proceedings of MLMI 2006, 2006 - amiproject.org
... For the TiMBL results the overlap metric was used. ... In addition to the compression we have made
use of n-grams of POS-tags which has previously been done in research concerning the creation
of backchannels in a spoken dialogue system [Cathcart et al., 2003]. ...
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Classifying recognition results for spoken dialog systems
[PDF] from upenn.edu
M Gabsdil - Proceedings of the 41st Annual Meeting on Association ..., 2003 - dl.acm.org
... Spotting erroneous utterances and words is a ma- jor task in spoken dialog systems. ... We found
that by using the machine learners TiMBL and Rip- per we can improve the results in both tasks
as com- pared to predicting recognition quality solely on the basis of the acoustic ...
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Automatic Bare Sluice Disambiguation in Dialogue*
R Fernández... - 2005 - Citeseer
... capacity to recognise and interpret sluices-bare wh-phrases that exhibit a sentential
meaning-is essential to maintaining cohesive interaction between human users and a machine
interlocutor in a dialogue system. ... 4, TiMBL: Tilburg Memory Based Learner Reference Guide. ...
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[PDF] Clause Boundary Detection in Transcribed Spoken Language
[PDF] from uio.no
F Jørgensen - Proceedings from NODALIDA, 2007 - folk.uio.no
... syntax (eg Part of Speech tagging), syntax (eg parsing and (semi-)automatic treebank construction)
and se- mantics (in dialogue systems, where eg ... of features from the context of the conjunctions
3. Apply a machine learning method (memory based learning/TiMBL) 4. Evaluate ...
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Automatic detection of dialog acts based on multilevel information
[PDF] from 192.44.78.170
S Rosset... - Eighth International Conference on Spoken ..., 2004 - isca-speech.org
... We are also interested in automatically modeling the discourse structure in order to develop more
sophisticated spoken dialog systems. ... for natural language processing [2, 3]). We employed the
IB1-IG implementation of Machine Based Learning from TiMBL software package ...
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Information state based speech recognition
[PDF] from gu.se
R Jonson - rapport nr.: Gothenburg Monographs in Linguistics 41, 2010 - gupea.ub.gu.se
... 65 3.2 The TrindiKit platform for dialogue system development . . . . . 66 3.3 The GoDiS dialogue
system . . . . . 67 3.3.1 GoDiS information state . . . . . ... 86 3.6.1 TiMBL . . . . . ...
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[PDF] Dialogue move prediction from the information state using TiMBL
[PDF] from gu.se
R Jonson - 2005 - ling.gu.se
... rj@ling.gu.se Dec, 2005 Abstract In this paper we explore dialogue move prediction ie predicting
what the user of a dialogue system may do in his/her next turn. We have used the machine learner
TiMBL [TiMBL] to predict user dialogue moves from information states. ...
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[PDF] Automatic Bare Sluice Disambiguation in Dialogue
[PDF] from sas.ac.uk
S Lappin, R Fernandez... - 2005 - sas-space.sas.ac.uk
... If a dialogue system does not assign the correct interpretation to a sluice, it will not respond
correctly to the ques- tion. ... In section 4 we use a set of features to manually annotate a data set
of sluices, and run two machine learning algorithms: SLIPPER and TiMBL, which yield ...
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[PDF] Dialogue act tagging with Memory based learning
[PDF] from kth.se
A Hjalmarsson - 2005 - speech.kth.se
... 6. Daelemans Walter, Jakub Zavrel, Ko van der Sloot, and Antal van den Bosch "TiMBL: Tilburg
Memory Based Learner, version 5.1, Reference ... Rotaru, M., Dialog Act Tagging using
Memory-Based Learning, Term Project in Dialog Systems, University of Pittsburgh, Spring 2002. ...
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[PDF] Using Machine Learning for Non-Sentential Utterance Classification
[PDF] from sas.ac.uk
S Lappin, R Fernandez... - 2005 - sas-space.sas.ac.uk
... Punctuation tags (that would correspond to intona- tion patterns in a spoken dialogue system)
help to extract the values of these features ... im- plement three different learning strategies: SLIP-
PER, a rule induction system presented in (Cohen and Singer, 1999); TiMBL, a memory ...
Related articles - View as HTML - All 2 versions - Import into BibTeX
Educating Lia: The Development of a Linguistically Accurate Memory-Based Lemmatiser for Afrikaans
H Groenewald - Intelligent Information Processing III, 2007 - Springer
... W. Daelemans, A. Van den Bosch, J. Zavrel and K. Van der Sloot. TiMBL: Tilburg Memory Based
Learner, version 5.1, Reference Guide. ILK Technical Report 04-02, 2004. PJ dvi Toit. ... The August
Spoken Dialogue System. Proceedings of Eurospeech, 1999. R. Hausser. ...
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[PDF] Timbl: Tilburg memory-based learner
[PDF] from uvt.nl
W Daelemans, J Zavrel, K Van der Sloot... - version, 2002 - ilk.uvt.nl
Page 1. TiMBL: Tilburg Memory-Based Learner version 6.3 Reference Guide
ILK Technical Report - ILK 10-01 Walter Daelemans* Jakub Zavrel*† Ko van
der Sloot Antal van den Bosch ... 11 4.2 Using TiMBL . . . . . ...
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[PDF] Integrating multiple modalities into SLMs and parsing the output of SLMs
[PDF] from eurice.info
K Weilhammer, R Jonson, H Burden, J Schatzmann... - 2006 - eurice.info
... Out of the scope of task 1.4 we have carried out some work to explore dialogue move prediction
ie predicting what the user of a dialogue system may do in his/her next turn. We have used the
machine learner TiMBL [DZvdSvdB01] to predict user dialogue moves from ...
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[PDF] Combining acoustic confidences and pragmatic plausibility for classifying spoken chess move instructions
[PDF] from upenn.edu
M Gabsdil - Proceedings of the 5th SIGdial Workshop on ..., 2004 - acl.ldc.upenn.edu
... 2002. TIMBL: Tilburg Mem- mory Based Learner, version 4.2, Reference Guide. ... Malte Gabsdil
and Oliver Lemon. subm. Combining acoustic and pragmatic features to predict recognition
performance in spoken dialogue systems. Submitted to ACL-04. Thorsten Joachims. 1999. ...
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[PDF] Memory-Based Shallow Parsing for Text Mining
[PDF] from pascal-network.org
W Daelemans - 2004 - eprints.pascal-network.org
... Ontology Extraction and Refinement Question Answering Dialogue Systems Shallow Parsing ...
Regularities and subregularities / exceptions can be modeled uniformly TiMBL 5.0 •
http://ilk.uvt.nl (includes detailed reference guide and guide to related literature) ...
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[PDF] Classifying Ellipsis in Dialogue: A Machine Learning Approach
[PDF] from sas.ac.uk
S Lappin, R Fernandez... - 2004 - sas-space.sas.ac.uk
... et al., to ap- pear), we implemented G&S's analysis of di- rect sluices as part of an interpretation
module in a dialogue system. ... The second, TiMBL, uses a memory-based ma- chine learning
procedure to classify a sluice by generalising over similar environments in which the ...
Related articles - View as HTML - All 2 versions - Import into BibTeX
[PDF] Classifying Ellipsis in Dialogue: A Machine Learning Approach
[PDF] from kcl.ac.uk
J Ginzburg, R Fernandez... - 2004 - calcium.dcs.kcl.ac.uk
... et al., to ap- pear), we implemented G&S's analysis of di- rect sluices as part of an interpretation
module in a dialogue system. ... The second, TiMBL, uses a memory-based ma- chine learning
procedure to classify a sluice by generalising over similar environments in which the ...
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Context dependent speech recognition
[PDF] from ed.ac.uk
S Andersson - 2006 - era.lib.ed.ac.uk
... Page 14. 6 CHAPTER 1. CONTEXT SENSITIVE ASR IN DIALOGUE SYSTEMS 1.2.3 Learning
Methods ... RIPPER was also used in Gabsdil and Lemon (2004) but was discarded because a
memory based learner, TiMBL (Daelemans et al., 2002) per- formed better. ...
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The dual of denial: Two uses of disconfirmations in dialogue and their prosodic correlates
[PDF] from uvt.nl
E Krahmer, M Swerts, M Theune... - Speech Communication, 2002 - Elsevier
... Using a corpus of interactions with two Dutch spoken dialogue systems, prosodic correlates
of users' disconfirmations were investigated. ... Author Keywords: Spoken dialogue systems;
Prosody; Error detection; Information grounding; Perception. ...
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[PDF] Memory-based robust interpretation of recognised speech
[PDF] from psu.edu
P Lendvai, A Van den Bosch, E Krahmer... - ... of SPECOM'04, 9th ..., 2004 - Citeseer
... Most if not all spoken dialogue systems (SDSs) contain an understanding module that extracts
semantic and prag- matic information from the word ... We employ the IB1 algorithm, implemented
in the TiMBL software package (version 5.0) [6]. The IB1 algorithm is an example of a ...
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[PDF] Dialog act tagging using memory-based learning
[PDF] from pitt.edu
M Rotaru - Term project, University of Pittsburgh, 2002 - cs.pitt.edu
... 1.Introduction A better understanding of the semantics of user utterances in a spoken dialog
system (SDS) will lead to more efficient and robust SDS. ... For our experiments, we employed the
IB1-IG implementation of MBL from TiMBL software package (Daelemans et all 2001). ...
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[PDF] TiMBL: Tilburg memory based learner
[PDF] from ua.ac.be
W Daelemans, J Zavrel, K van der Sloot... - ILK 03, 2003 - clips.ua.ac.be
Page 1. TiMBL: Tilburg Memory-Based Learner version 5.0 Reference Guide
ILK Technical Report - ILK 03-10 Walter Daelemans* Jakub Zavrel*† Ko van
der Sloot Antal van den Bosch ... 9 4.2 Using TiMBL . . . . . ...
Cited by 32 - Related articles - View as HTML - All 12 versions - Import into BibTeX
Unified treatment of data-sparseness and data-overfitting in maximum entropy modeling
F Weng... - US Patent App. 11/266,867, 2005 - Google Patents
... Partial Proper Name Recognition [0040] If the speech recognizer 101 for the exemplary dialog
system does not produce class labels for the ... A memory-based learning package that may be
used is Timbl, which is discussed, for example, by Daelemans, "TIMBL: Tilburg Memory ...
Import into BibTeX
Book Review
[DOC] from naba.org.uk
S McRoy - Computational Linguistics, 2004 - MIT Press
... TiMBL: Tilburg Memory Based Learner, version 2.0, Reference Guide. ... sys- tems for tutoring and
training; achieving robust human-machine communication; detecting and repairing
communication errors; developing tools for real-time intelligent dialog systems; and investigating ...
Cited by 1 - Related articles - BL Direct - All 4 versions - Import into BibTeX
Exceptionality and natural language learning
[PDF] from upenn.edu
M Rotaru, DJ Litman - Proceedings of the seventh conference on ..., 2003 - dl.acm.org
... come from the area of spoken dialog systems and have smaller datasets and more features
(with many of the features being numeric, in contrast ... Our memory-based learner is called
IB1-IG and is part of TiMBL, a software package developed by the ILK Research Group, Tilburg ...
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[PDF] D4. 1: Integration of Learning and Adaptivity with the ISU approach
[PDF] from shef.ac.uk
O Lemon, K Georgila, J Henderson, M Gabsdil... - 2005 - nlp.shef.ac.uk
... 7 2 Classifier Machine Learning methods for ISU dialogue systems 9 2.1 Memory-based learning . ...
ISU dialogue systems This chapter explains how we have explored the use of several different
machine learning techniques with Information State Update dialogue management. ...
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[PDF] Improving machine-learned detection of miscommunications in human-machine dialogues through informed data splitting
[PDF] from psu.edu
P Lendvai, A Van den Bosch, E Krahmer... - Proceedings of the ..., 2002 - Citeseer
... 11 Page 12. RIPPER significantly better than TiMBL? Global data Split data ... 5 Discussion
In this paper we have studied the use of two machine learning techniques, namely RIPPER
and IB1-GR, for error detection in spoken dialogue systems. ...
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The learning vector quantization algorithm applied to automatic text classification tasks
MT Martín-Valdivia, LA Urena-López... - Neural Networks, 2007 - Elsevier
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Blueprint for a high performance NLP Infrastructure
[PDF] from upenn.edu
JR Curran - Proceedings of the HLT-NAACL 2003 workshop on ..., 2003 - dl.acm.org
... There have already been several attempts to develop distributed NLP systems for dialogue
systems (Bayer et al., 2001) and speech recognition (Ha- cioglu and Pellom, 2003). ... 2002.
TiMBL: Tilburg Memory-Based Learner reference guide. ...
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[PDF] Nordic Graduate School of Language Technology (NGSLT)
[PDF] from 130.241.54.13
R Cooper - 2007 - 130.241.54.13
... Spring Term Dialogue Systems Lars Ahrenberg, Linköpings universitet, Sweden, GSLT Java
Development for HLT Lars Degerstedt, Linköpings universitet, Sweden, GSLT Lexical Semantics
Åke Viberg, Uppsala University, Swe- den, GSLT Machine Learning Joakim Nivre ...
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Ontological Engineering and the Semantic Web
J Gómez-Pérez... - Advanced Techniques in Web Intelligence-I, 2010 - Springer
Page 1. Chapter 8 Ontological Engineering and the Semantic Web José Manuel
Gómez-Pérez and Carlos Ruiz Abstract. This chapter focuses on ontologies as means
of representing knowledge and reason across the various domains. ...
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[BOOK] Finite state morphology
[HTML] from mendeley.com
KR Beesley... - 2003 - mendeley.com
... TiMBL: Tilburg Memory Based Learner, version 2.0, Reference Guide. ... sys- tems for tutoring and
training; achieving robust human-machine communication; detecting and repairing
communication errors; developing tools for real-time intelligent dialog systems; and investigating ...
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Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles
[PDF] from cuc.edu.cn
E Mustafaraj, M Hoof... - ... Language Processing and ..., 2007 - books.google.com
... The authors envision that the semantic interpretation of text in terms of frames and roles would
contribute to many applications, like question answering, information extraction, semantic dialogue
systems, as well as statistical machine translation or automatic text summarization ...
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[PDF] D2. 1: Integration of ontological knowledge with the ISU approach
[PDF] from eurice.info
M Gabsdil, S Larsson, O Lemon, P Manchon... - 2005 - eurice.info
... Memory-based learning (implemented using TiMBL)is used over Information State
Update representations of dialogue context. This resulted in over 50% reduction in
error rates for speech recognition in a task-based dialogue system. ...
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[PDF] Content assessment in intelligent computer-aided language learning: Meaning error diagnosis for English as a second language
[PDF] from psu.edu
SM Bailey - 2008 - Citeseer
... 203 6.9 Breakdown of Data Sets by Judgment Labels . . . . . 205 6.10 Hypothetical
Performance Metric Example Data . . . . . 206 6.11 TiMBL Distance Metrics . . . . . 212
6.12 Development Set Performance with(out) AA Pairs . . . . . ...
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Unhappy bedfellows: the relationship of AI and IR
[PDF] from shef.ac.uk
Y Wilks - Charting a New Course: Natural Language Processing ..., 2005 - Springer
Page 1. 255 John I. Tait (ed.), Charting a New Course: Natural Language Processing
and Information Retrieval. Essays in Honour of Karen Spärck Jones. 255-282 (c) 2005
Springer. Printed in the Netherlands. YORICK A. WILKS ...
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Word sense disambiguation
[PDF] from 212.3.125.93
M Stevenson... - The Oxford Handbook of Comp. ..., 2003 - books.google.com
... Examples of'final'tasks are MT, information extraction (IE), and dialogue systems, all of which
are described in Part III of this volume. ... 1998. TiMBL: Tilburg memory based learner version 1.
o. ILK Technical Report 98-03. Gale, W., K. Church. and D. Yarowsky. ...
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System and method for tokenization of text
J Carrier, AB Carus, WF Cote... - US Patent App. ..., 2004 - freepatentsonline.com
... 20070083375, METHOD AND SYSTEM FOR TEMPLATE INQUIRY DIALOGUE SYSTEM, April,
2007, Lee et al. ... In one embodiment of the invention, the tokenizer 15 may be configured to call
up a package known as TiMBL (Tilburg Memory Based Learner). ...
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[PDF] Experiences from the spoken Dutch corpus project
[PDF] from kuleuven.be
N Oostdijk, W Goedertier, F Van Eynde... - Proceedings of ..., 2002 - yum.ccl.kuleuven.be
... MBT 86.5 89.4 91.2 92.0 94.3 95.6 maxent 83.6 89.4 90.1 92.6 95.2 - Brill 83.3 86.3 87.9 89.9 - -
Timbl combiner 94.2 94.3 94.3 95.6 96.2 96.6 ... Unraveling the prosodic mechanisms is also of
great importance for the further development of human-machine dialog systems. ...
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[PDF] Learning Computational Grammars TMR Project Nr. ERBFMRXCT980237 Final Report
[PDF] from ua.ac.be
J Nerbonne - 2002 - cnts.ua.ac.be
... Tiubingen colleague SandraKiubler visited Antwerp in December 1999 for an introduction to
the memory-based learning software TiMBL. 11 ... RobKoeling worked previously on the grammar
of a natural language processing module of a spoken dialogue system.HisPhD research ...
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[PDF] A Machine Learning Approach to Anaphora Resolution Including Named Entity Recognition, PP Attachment Disambiguation, and Animacy Detection
[PDF] from psu.edu
A Nøklestad - 2009 - Citeseer
... 47 3.2 The Oslo Corpus of Tagged Norwegian Texts . . . . . 48 3.3 The Oslo-Bergen tagger . . . . .
51 3.4 TiMBL . . . . . 53 3.5 Zhang Le's maximum entropy modelling toolkit . . . . . 54 3.6 SVMlight . . ...
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Combining machine learning and rule-based approaches in Spanish syntactic generation
[PDF] from tdx.cat
MT Melero Nogués - 2006 - tdx.cat
Page 1. 1 Barcelona, 2006 Ph.D. Dissertation To obtain the Ph.D. degree in the Universitat
Pompeu Fabra Directed by: Antoni Badia i Cardús Combining Machine Learning and Rule-Based
Approaches in Spanish Syntactic Generation Maria Teresa Melero Nogués ...
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[PDF] Domain action classification and argument parsing for interlingua-based spoken language translation
[PDF] from cmu.edu
CT Langley - 2003 - lti.cs.cmu.edu
... 94 3.1 Preparation of Training Data ..... 95 3.2 Testing TiMBL
Parameter Settings ..... ... 121 4.2.2.1 TiMBL ..... ...
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Knowledge-lean approaches to metonymy
[PDF] from ed.ac.uk
Y Peirsman - 2005 - era.lib.ed.ac.uk
... It is clear that metonymy is an extremely frequent phenomenon in everyday language, and many
NLP tasks such as machine translation or dialogue systems have to be well- equipped to handle
it correctly. They have to be able to spot a metonymy, and often also to interpret it. ...
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[PDF] Universiteit van Tilburg Faculteit der Letteren juni 2003
[PDF] from uvt.nl
C Wieme - 2003 - arno.uvt.nl
... In deze scriptie worden een aantal evaluatiemethoden onderzocht: 1.) Een evaluatiemethode
om twee systemen te vergelijken 2.) PARADISE, een generiek evaluatie-model 3.) TiMBL, een
alternatieve methode om user satisfaction te voorspellen. ... 30 4.6 Berekeningen TiMBL . ...
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[PDF] Corpus-based semantic categorisation for anaphora resolution
[PDF] from uib.no
U Eiken - 2005 - hf.uib.no
... 73 4.3 Step III: Using concept groups in TiMBL 74 ... is called anaphora resolution and its computer
implementation is relevant in many NLP applications, such as machine translation, automatic
abstracting, dialogue systems, question answering and information extraction. ...
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[PDF] GRADUATE COMMITTEE APPROVAL
[PDF] from byu.edu
M Emonts - 2002 - contentdm.lib.byu.edu
Page 1. MEMORY-BASED TONE RECOGNITION OF CANTONESE SYLLABLES by Michael
Emonts A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the
requirements for the degree of Master of Arts Department of Linguistics ...
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[PDF] Language Technology for the Lazy
[PDF] from kth.se
J SJÖBERGH - 2006 - f.kth.se
... NLP is when a computer does something with a language normally used by humans, such as
English or Swedish. NLP is of course a very large research area, including such diverse things
as speech recognition, machine translation, text categorization and dialogue systems. ...
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[BOOK] Memory-based parsing
S Kübler - 2004 - books.google.com
... Such a parser is an indispensable prerequisite for the successful design of dialogue
systems. 1.2 Machine Learning Machine learning (ML) is a term which is used in two
different scientific disciplines: computer science and cognitive science. ...
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Samisk sprakteknologi
T Trosterud - Nordisk sprogteknologi-Arbog for Nordisk ..., 2003 - books.google.com
... V: Multilinguality and general applications: • Semantically annotated corpora • Information retrieval
and extraction • Machine translation systems; translation of NPs and simple sentences • Dialog
systems • Multilingual lexical-semantic knowledge base • Language learning ...
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