Named Entity Recognition
F Béchet - Spoken Language Understanding, 2011 - Wiley Online Library
... 260 NAMED ENTITY RECOGNITION ... An additional value extraction task can also be added,
especially in some speech applicative frameworks such as Spoken Dialogue Systems or Directory
Assistance, where a canonical value has to be extracted for each entity detected (for ...
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Dialogue Acts Annotation to Construct Dialogue Systems for Consulting
K Ohtake, T Misu, C Hori, H Kashioka… - … Dialogue Systems …, 2011 - Springer
... The labels of the leaves are very similar to the labels for named entity recognition. For example,
there are 'year', 'date', 'time', 'organizer', Page 17. Dialogue Acts Annotation to Construct Dialogue
Systems for Consulting 247 'name', etc. in the labels of the leaves. ...
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Towards the rapid development of a natural language understanding module
C Moreira, A Mendes, L Coheur… - Intelligent Virtual Agents, 2011 - Springer
... Here, we follow the approach described in [5], although their focus is on frame-based dialogue
systems. ... If the dictionary is used, Named Entity Recognition (NER) is performed to replace the
terms that occur both in the training utterances file and user ut- terances. ...
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Intelligent assistance for conversational storytelling using story patterns
[PDF] from mit.edu
PY Chi… - Proceedings of the 15th international conference …, 2011 - dl.acm.org
... Named entity recognition (NER) to determine story characters (names like “Peter”, “Gaudi”, “Dali”),
organizations (eg schools, museums), geographical areas (eg “Spain”, “Barcelona”), and time
(eg “one hour”, “July 4th”) that help categorize the basic story elements. ...
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[PDF] A Mention-Synchronous Coreference Resolution Algorithm Based On the Bell Tree Xiaoqiang Luo, Abe Ittycheriah, Hongyan Jing, Nanda Kambhatla and Salim …
[PDF] from upenn.edu
JY Chai, P Hong, MX Xhou, Z Prasov, L Steels… - acl.ldc.upenn.edu
... Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken
Dialogue Systems Malte Gabsdil and Oliver Lemon ... Multi-Criteria-based Active Learning for Named
Entity Recognition Dan Shen, Jie Zhang, Jian Su, Guodong Zhou and Chew-Lim Tan ...
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[PDF] Main Conference Program
[PDF] from nyu.edu
J Monday - nlp.cs.nyu.edu
... Evolving optimal inspectable strategies for spoken dialogue systems Dave Toney, Johanna Moore
and Oliver Lemon ... MMR-based Active Machine Learning for Bio Named Entity Recognition
Seokhwan Kim, Yu Song, Kyungduk Kim, Jeong-Won Cha and Gary Geunbae Lee ...
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[PDF] DISI-University of Trento
[PDF] from digns.com
TVT Nguyen - 2011 - static.digns.com
... applications that require deep understanding capabilities such as question- answering
engines, dialogue systems, or the semantic web. Due to the huge ... in the literature. Named
Entity Recognition (NER) is an IE task of locating objects that ...
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From Chatbots to Dialog Systems
T Klüwer - … Agents and Natural Language Interaction: Techniques …, 2011 - igi-global.com
... Analogously, the chapter will sup- ply a more detailed look into the work flow and architecture
of dialog systems including their linguistic technologies, such as Part-of-Speech Tagging, Named
Entity Recognition and Pars- ing, and shows some concrete examples of an ...
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Integration of speech and text processing modules into a real-time dialogue system
J Ptácek, P Ircing, M Spousta, J Romportl… - Text, Speech and …, 2011 - Springer
... will focus mostly on the problems related to the implementation and integration of the individual
modules of the dialogue system prototype, whilst ... Its result is very important in the subsequent
steps, such as dependency parsing or named entity recognition, as they rely on correct ...
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[BOOK] Text, Speech and Dialogue: 14th International Conference, TSD 2011, Pilsen, Czech Republic, September 1-5, 2011, Proceedings
I Habernal… - 2011 - books.google.com
... Elzbieta Hajnicz Hierarchical Dialogue System for Guide Robot in Shopping Mall
Environments..... ... Tino Haderlein, Cornelia Moers, Bernd Möbius, Frank Rosanowski, and Elmar
Nöth Maximum Entropy Named Entity Recognition for Czech Language..... ...
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[PDF] Technical Program Schedule
[PDF] from upenn.edu
JY Chai, P Hong, MX Xhou, Z Prasov, L Steels… - acl.ldc.upenn.edu
... Systems 15:50-16:15 Combining Acoustic and Pragmatic Features to Predict Recognition
Performance in Spoken Dialogue Systems Malte Gabsdil ... 16:15-16:40 Multi-Criteria-based Active
Learning for Named Entity Recognition Dan Shen, Jie Zhang, Jian Su, Guodong Zhou ...
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[PDF] Unstructured Data
[PDF] from aston.ac.uk
C Brewster - thirlmere.aston.ac.uk
... Generate eg answers, summaries, dialogue • NLP provides components to complex AI systems,
such as: - Dialogue systems (a combination of speech technology and NLP) ... Proteins
TERM/ENTITY RECOGNITION * NAMED ENTITY RECOGNITION * EVENT RECOGNITION ...
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[BOOK] Interactive multi-modal question-answering
A Van den Bosch… - 2011 - books.google.com
... 25 Boris van Schooten and Rieks op den Akker 1 Introduction..... 25 1.1
QA Dialogue System Features..... ... 209 6.2 Named-Entity Recognition.....
210 6.3 Medical Concept Chunking: The IMIX Task..... ...
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[PDF] Identifying Mature and Sustainable Language Resources
[PDF] from flarenet.eu
K Choukri… - Final FLaReNet Deliverable Language Resources for … - flarenet.eu
... topic detection, etc.) Other (sign languages, etc.) Or application type: Web search, retrieval,
extraction, indexing, named entity recognition, opinion mining ... Machine Interactions have been
produced but cover artificial settings, as none of the major users of dialogue systems and/or ...
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Conditional Random Fields for Modeling Korean Pronunciation Variation
S Sakti, A Finch, C Hori, H Kashioka… - … Dialogue Systems …, 2011 - Springer
... RL-C. Delgado and T. Kobayashi (eds.), Proceedings of the Paralinguistic Information and its
Integration in Spoken Dialogue Systems Workshop ... cessing tasks (ie, part-of-speech tagging
[5], morphological analysis [6], shallow parsing [7], and named entity recognition [8]). CRFs ...
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Emotion classification by removal of the overlap from incremental association language features
JL Wu, LC Yu… - Journal of the Chinese Institute of …, 2011 - Taylor & Francis
... 1999. Towards a pure Chinese spoken dialogue system. ... Wu, Y. Zhao, J., and Xu, B., 2003, Chinese
named entity recognition combining a statistical model with human knowledge, In: Proceedings
of the ACL 2003 Workshop on Multilingual and Mixed-Language Named Entity ...
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[PDF] Speech for content creation
[PDF] from mit.edu
J Polifroni, I Kiss… - International Journal of Mobile …, 2011 - groups.csail.mit.edu
... Keyword/phrase spotting has long been used to perform at least partial understanding of
spontaneous speech in spo- ken dialogue systems [54, 63, 32]. when a complete un- derstanding
of spoken input is impossible. ... 3.1 User modelling in dialogue systems ...
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Combining the Best of Two Worlds: NLP and IR for Intranet Search
S Adindla… - … (WI-IAT), 2011 IEEE/WIC/ACM …, 2011 - ieeexplore.ieee.org
... This makes our work different from the above mentioned dialogue systems. In recent
years, Web search algorithms have matured significantly by adapting to the users'
information needs. An example is named entity recognition. ...
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[PDF] Exploring linguistically-rich patterns for question generation
[PDF] from brighton.ac.uk
S Curto, AC Mendes… - EMNLP 2011 - nltg.brighton.ac.uk
... Generating questions (and answers), on one hand, allows QA or Dialogue Systems to be easily
ported to different domains, by quickly ... Kalady et al.(2010) bases the QG task in Up-keys (significant
phrases in documents), parse tree manipulation and named entity recognition. ...
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RefGen: Identifying Reference Chains to Detect Topics
L Longo, A Todirascu - Advances in Distributed Agent-Based Retrieval …, 2011 - Springer
... Many natural language processing applications such as topic detection, text summarization or
human-machine dialogue systems use reference chains to build discourse model or ... Annotation
of Complex Noun Phrases Named Entity Recognition Tagged text TTL (Ion, 2007) ...
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[PDF] A Recommender System For Assistive Environments
[PDF] from uta.edu
A Papangelis, G Galatas… - 2011 - heracleia.uta.edu
... inherently Context Aware since it uses Natural Language Process- ing techniques and targeted
for Assistive Environments, whether as part of a companion (a dialogue system whose purpose ...
An example tool for this is www.opencalais.com that offers Named Entity Recognition. ...
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Spoken Question Answering
S Rosset, O Galibert… - Spoken Language …, 2011 - Wiley Online Library
... We first notice that the system ASR C does not provide true casing, which may
complicate the task of Named Entity recognition. ... The cluster of each token is added
as a feature during training of the Named Entity recognition model. ...
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A New Approach to Ranking Over-Generated Questions
C McConnell, P Mannem, R Prasad… - 2011 AAAI Fall Symposium …, 2011 - aaai.org
... The out- put of such a task would prove valuable in areas such as education, dialog systems
and Internet search. ... Design challenges and mis- conceptions in named entity recognition. In
Proceedings of the Annual Conference on Computational Natural Language Learning. ...
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A prototype for a conversational companion for reminiscing about images
[PDF] from shef.ac.uk
Y Wilks, R Catizone, S Worgan, A Dingli… - Computer Speech & …, 2011 - Elsevier
... preliminary studies and results for these, in particular a novel approach to enabling reinforcement
learning for open dialogue systems through the ... The basic processes carried out by GATE are:
tokenizing, sentence splitting, POS tagging, parsing and Named Entity Recognition. ...
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Interfacing virtual agents with collaborative knowledge: Open domain question answering using wikipedia-based topic models
[PDF] from unsw.edu.au
U Waltinger, A Breuing… - Proceedings of the International …, 2011 - aaai.org
... 1897 Page 3. Figure 1: Overview of the QA architecture within the dialog system of our
conversational agent Max. ... Named Entity Recognition is done using a rule-based approach as
provided by the ANNIE mod- ule within the GATE framework [Cunningham et al., 2002]. ...
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Using a Lexical Dictionary and a Folksonomy to Automatically Construct Domain Ontologies
D Macías-Galindo, W Wong, L Cavedon… - AI 2011: Advances in …, 2011 - Springer
... The wikilink terms extracted are validated using a named entity recognition (NER) tool5 and
a “Wikipedia-to-WordNet” conversion table provided by DBPedia. ... In: Knowledge Representation
and Reasoning for Practical Dialogue Systems, pp. 16–23 (2011) 14. ...
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[PDF] Event and temporal expression extraction from raw text: First step towards a temporally aware system
[PDF] from rochester.edu
N UZZAMAN, JF ALLEN - International Journal of Semantic …, 2011 - cs.rochester.edu
... genre. The TRIPS system uses a range of statistically driven preprocessing
techniques, including part of speech tagging, constituent bracketing, interpretation
of unknown words using WordNet, and named-entity recognition. ...
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[PDF] Literature Review of Interactive Cross Language Information Retrieval Tools
[PDF] from ccis2k.org
F Ahmed… - ccis2k.org
... on Language-Enabled Educational Technology and Development and Evaluation of Robust
Spoken Dialogue Systems (part of ... M., and Rosso, P., ”Using Language Independent and
Language Specific Features to Enhance Arabic Named Entity Recognition,” The International ...
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Collaboration Language for Social Information Engineering
[PDF] from thinkmind.org
K Englmeier, J Mothe, F Murtagh… - ICAS 2011, The …, 2011 - thinkmind.org
... It applies methods for automatic text analysis such as stopword elimination, identification of
composed terms, and named entity recognition. ... Finally, the dialogue system managing the
storybooks will be able to explain inferences; without explanations, users may find it difficult to ...
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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
... mance in downstream applications strongly affected by out-of-vocabulary terms, such
as: spoken term detection and named entity recognition in speech. ... 7 OOV Sensitive
Named-Entity Recognition in Speech 140 7.1 Introduction . . . . . ...
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[PS] NWO/EW Thematic Research Proposal
[PS] from uvt.nl
APJ van den Bosch - ilk.uvt.nl
... Enrichment for Vital Informa- tion) project in the form of a contract study in which text mining
methods for phrase chunk- ing, named entity recognition and information ... Currently a cooperation
is developed between ILK and IPO on applying machine learning to dialogue systems. ...
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Active Learning
D Hakkani-Tür… - Spoken Language Understanding, 2011 - Wiley Online Library
Page 1. 8 Active Learning Dilek Hakkani-Tür1 and Giuseppe Riccardi2 1 Microsoft
Speech Labs, Microsoft Research, USA 2 University of Trento, Italy Statistical,
data-driven approaches to spoken language processing have ...
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Sequential Supervised Learning for Hypernym Discovery from Wikipedia
B Litz, H Langer… - Knowledge Discovery, Knowlege …, 2011 - Springer
... Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2008)
7. Kazama, J., Torisawa, K.: Exploiting wikipedia as external knowledge for named entity
recognition. ... Loos, B., Porzel, R.: Resolution of lexical ambiguities in spoken dialogue systems. ...
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Medical data mining: improving information accessibility using online patient drug reviews
[PDF] from 18.7.29.232
S Seneff, YA Li - 2011 - 18.7.29.232
... Speech Recognition An integral part of dialogue systems is speech recognition, which is the
process of turning a speech signal into a sequence of recognized words through appropriate
rep- ... namely topic classification, named entity recognition. and event extraction. ...
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[BOOK] Operational Risk Management: a practical approach to intelligent data analysis
[PDF] from kpa.co.il
R Kenett… - 2011 - books.google.com
... 1 Named entity recognition 64 Page 11. ... The chapter gives an overview of the ?eld covering
com- ponents involved in the development and evaluation of an information extraction system
such as parts of speech tagging or named entity recognition. ...
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[BOOK] Spoken Language Understanding: Systems for Extracting Semantic Information from Speech
G Tur, R De Mori - 2011 - books.google.com
... Projects and Data Sets 7.5 Time is Money: The Relationship between SLU and Overall Dialogue
System Performance 7.6 ... 9.9 Modeling Dominance 9.10 Argument Diagramming 9.11 Discussion
and Conclusions References Chapter 10: Named Entity Recognition 10.1 Task ...
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[PDF] Impact of Responsive and Directive Adaptation on Local Dialog Processing
[PDF] from open.ac.uk
S Stoyanchev - 2011 - users.mct.open.ac.uk
... 2009 Spoken dialog systems allow users to access information and accomplish tasks using
speech. ... one conversational partner's behavior causing changes in the behavior of the other
conversational partner) can be a powerful tool to improve dialog system performance. ...
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[PDF] TROPE
[PDF] from idiap.ch
APBD Lalanne… - 2011 - publications.idiap.ch
... Answering the queries requires topic detec- tion, eg terms or significant keywords, named entity
recognition, but also an understanding of the interaction ... of interactive software is known to be
a challenging en- deavor, in particular for multi-modal dialogue systems [Gibbon et al ...
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End-to-End Relation Extraction via Syntactic Structures and Semantic Resources
[PDF] from unitn.it
TVT Nguyen - 2011 - eprints-phd.biblio.unitn.it
... applications that require deep understanding capabilities such as question- answering
engines, dialogue systems, or the semantic web. Due to the huge ... plored in the literature.
A basic component of an IE system is named entity recognition (NER) ...
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Linguistic Structure Prediction
[PDF] from cmu.edu
NA Smith - Synthesis Lectures on Human Language …, 2011 - morganclaypool.com
... Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue
Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language
Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 ...
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A Survey of Computational Semantics: Representation, Inference and Knowledge in Wide-Coverage Text Understanding
[PDF] from rug.nl
J Bos - Language and Linguistics Compass, 2011 - Wiley Online Library
... First of all, the coverage and accuracy of implemented systems is now reaching levels of
sophistication and robustness that make formal methods potentially useful in real-world
applications such as information retrieval, information extraction, spoken dialogue systems and ...
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[PDF] SEARCHING A WEBSITE VIA SPOKEN QUESTIONS
[PDF] from boun.edu.tr
M Durukal - 2011 - busim.ee.boun.edu.tr
... organizations. Recently, people can encounter spoken dialog systems in different applications
and forms in various sectors, substituting call centers. However, most commercially available
dialog systems are finite state based. That is to say, these systems allow only ...
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A Computational Theory of the Use-Mention Distinction in Natural Language
[PDF] from umd.edu
S Wilson - 2011 - drum.lib.umd.edu
... following will become possible: • Dialog systems can be designed to recognize when a user
is attempting to ... This was a prime motivation of this work, and contributions toward creating
such a dialog system will be discussed in detail in the next section. ...
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[PDF] Automatic Factual Question Generation from Text
[PDF] from cmu.edu
M Heilman - 2011 - lti.cs.cmu.edu
... tions deal with the analysis of student responses rather than the generation of
instructional content. For example, tutorial dialogue systems (Litman and Silliman, 2004;
Graesser et al., 2005; Boyer et ... generation and dialogue systems. ...
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Spatial role labeling: Towards extraction of spatial relations from natural language
[PDF] from kuleuven.be
P Kordjamshidi, M van Otterlo… - ACM Transactions on …, 2011 - lirias.kuleuven.be
Page 1. Spatial Role Labeling: Towards Extraction of Spatial Relations from Natural
Language PARISA KORDJAMSHIDI, MARTIJN VAN OTTERLO and MARIE-
FRANCINE MOENS Katholieke Universiteit Leuven This article ...
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Ontology-based Information Extraction
[PDF] from upc.edu
C Vicient Monllaró - 2011 - upcommons.upc.edu
Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis
Ontology-based Information Extraction Carlos Vicient Monllaó Advisors: Antonio Moreno
Ribas, David Sánchez Ruenes June, 23rd 2011 Page 2. v Agraïments ...
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Discriminative Reranking for Spoken Language Understanding
[PDF] from unitn.it
M Dinarelli, A Moschitti… - 2011 - ieeexplore.ieee.org
Page 1. Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission
must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been
accepted for publication in a future issue of this journal, but has not been fully edited. ...
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Discourse Processing
M Stede - Synthesis Lectures on Human Language …, 2011 - morganclaypool.com
... Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue
Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language
Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 ...
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[BOOK] Discourse Parsing
M Stede - 2011 - books.google.com
... Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault 2010 Data-Intensive Text
Processing with MapReduce Jimmy Lin and Chris Dyer 2010 Semantic Role Labeling Martha
Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen ...
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NICOLAS FLORES-HERR/STEFAN EICKELER/JAN NANDZIK/STEFAN PAAL
I KONYA… - Internet Der Dienste, 2011 - books.google.com
... Die Zuordnung der Frage zu den Instanzen geschieht semi-automatisch, das bedeutet, dass
auf Basis der während der Bearbeitung der Frage durchgeführten Namenserken- nung („Named
Entity Recognition “) ein oder mehrere Vorschläge generiert werden, zu welchen ...
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Combining Natural Language Processing And Statistical Text Mining: A Study Of Specialized Versus Common Languages
[PDF] from usf.edu
J Jarman - 2011 - scholarcommons.usf.edu
Page 1. University of South Florida Scholar Commons Theses and Dissertations 1-1-2011
Combining Natural Language Processing And Statistical Text Mining: A Study Of Specialized
Versus Common Languages Jay Jarman University of South Florida, jay@jayjarman.com ...
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