incorporating named entity information
Báo cáo khoa học: "Incorporating speech recognition confidence into discriminative named entity recognition of speech data" ppt
... Borthwick. 1999. A Maximum Entropy Ap-proach to Named Entity Recognition. Ph.D. thesis,New York University.Hai Leong Chieu and Hwee Tou Ng. 2003. Named en-tity recognition with a maximum entropy ... Discrimi-native methods for improving named entity extrac-tion on speech data. In Proc. EUROSPEECH, pages2765–2768.James Horlock and Simon King. 2003b. Named en-tity extraction from word lattices. ... Stone. 1999. Named entity extractionfrom broadcast news. In Proceedings of the DARPABroadcast News Workshop, pages 37–40.David D. Palmer and Mari Ostendorf. 2001. Im-proving information extraction...
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Tài liệu Báo cáo khoa học: "Mining Wiki Resources for Multilingual Named Entity Recognition" pdf
... identify possible named entities and discuss in detail the process by which we use the Category structure inherent to Wikipedia to determine the named entity type of a proposed entity. We further ... Paşca. 2006. Using Encyclope-dic knowledge for named entity disambigua-tion. In Proceedings of EACL, 9-16. Cucerzan, S. 2007. Large-scale named entity dis-ambiguation based on Wikipedia data. ... primarily for Named Entity Dis-ambiguation, following the path of Bunescu and Paşca (2006). As in this paper, and unlike the above mentioned works, Cucerzan made use of the explicit Category information...
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Tài liệu Báo cáo khoa học: "Inducing Gazetteers for Named Entity Recognition by Large-scale Clustering of Dependency Relations" ppt
... 2006.Unsupervised named- entity recognition: Generatinggazetteers and resolving ambiguity. In 19th CanadianConference on Artificial Intelligence.K. Nakano and Y. Hirai. 2004. Japanese named entity extraction ... improve the accuracy inseveral cases.1 IntroductionGazetteers, or entity dictionaries, are important forperforming named entity recognition (NER) accu-rately. Since building and maintaining ... Ohio, USA, June 2008.c2008 Association for Computational LinguisticsInducing Gazetteers for Named Entity Recognitionby Large-scale Clustering of Dependency RelationsJun’ichi KazamaJapan Advanced...
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Tài liệu Báo cáo khoa học: "Robust Extraction of Named Entity Including Unfamiliar Word" doc
... LinguisticsRobust Extraction of Named Entity Including Unfamiliar WordMasatoshi Tsuchiya†Shinya Hida‡Seiichi Nakagawa‡† Information and Media Center /‡Department of Information and Computer ... ofextracting Japanese named entities from IREXcorpus and NHK corpus show the effective-ness of the proposed method.1 IntroductionIt is widely agreed that extraction of named entity (henceforth, ... corpus andNHK corpus show the effectiveness of the proposedmethod.2 Extraction of Japanese Named Entity 2.1 Task of the IREX WorkshopThe task of NE extraction of the IREX workshop(Sekine and...
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Tài liệu Báo cáo khoa học: "Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition" pdf
... label of a named entity is “O”,which indicates a non -named entity. For 98.0% ofthe named entities in the training data of the sharedtask in the 2004 JNLPBA, the label of the preced-ing entity ... use partial information on the preceding states. Consider the task of tag-ging entity and O -entity, where the latter tag is ac-tually O tags that distinguish the preceding named entity tags. ... where entity names may be long and manyclass-labels exist at the same time. We also presentan extended version of semi-CRFs in which wecan make use of information about a preceding named entity...
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Tài liệu Báo cáo khoa học: "Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora" ppt
... Introduction Named Entity recognition has been getting muchattention in NLP research in recent years, since itis seen as significant component of higher levelNLP tasks such as information distillation ... 817–824,Sydney, July 2006.c2006 Association for Computational LinguisticsWeakly Supervised Named Entity Transliteration and Discovery fromMultilingual Comparable CorporaAlexandre Klementiev ... of Computer ScienceUniversity of IllinoisUrbana, IL 61801klementi,danr @uiuc.eduAbstract Named Entity recognition (NER) is animportant part of many natural languageprocessing tasks. Current...
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Tài liệu Báo cáo khoa học: "Syntax-based Semi-Supervised Named Entity Tagging Behrang Mohit" ppt
... 1: System's architecture 3 Named Entity Recognition In this level, the system used a group of syntax-based rules to recognize and extract potential named entities from constituency and ... report an empirical study on the role of syntactic features in building a semi-supervised named entity (NE) tagger. Our study addresses two questions: What types of syntactic features are ... test cases is low, suggesting that the trained classifier generalizes well. 1 Introduction Named entity (NE) tagging is the task of recogniz-ing and classifying phrases into one of many se-mantic...
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Tài liệu Báo cáo khoa học: "A Bootstrapping Approach to Named Entity Classification Using Successive Learners" pdf
... A. et al. 1998. Description of the MENE named Entity System. Proceedings of MUC-7. Collins, M. and Y. Singer. 1999. Unsupervised Models for Named Entity Classification. Proceedings of the ... NE bootstrapping are also discussed. 1 Introduction Named Entity (NE) tagging is a fundamental task for natural language processing and information extraction. An NE tagger recognizes and ... Linguistics, Volume 27, Number 1, 123-131. Cucerzan, S. and D. Yarowsky. 1999. Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence. Proceedings of the 1999...
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Tài liệu Báo cáo khoa học: "The Multilingual Named Entity Recognition Framework" docx
... (1999) A maximum entropy approachfor named entity recognition. PhD Thesis, NewYork University.Collins M. and Singer Y. (1999) Unsupervisedmodels for named entity classification. InProceedings ... French and English. Thismultilingual named entity recogniser is alreadyused in a wider project concerning corpusalignment. The idea is to use cognates and named entities as cues for sentence ... trigger words is defined, along with aproper names dictionary and a named entity grammar for the concerned language. Thedynamic named acquisition mechanismsimplemented are classical and have beendescribed...
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Báo cáo khoa học: "Joint Inference of Named Entity Recognition and Normalization for Tweets" doc
... which named entities occur fre-quently with rich variations. We study theproblem of named entity normalization (NEN)for tweets. Two main challenges are the er-rors propagated from named entity ... source of fresh information. As a re-sult, the task of named entity recognition (NER)for tweets, which aims to identify mentions of rigiddesignators from tweets belonging to named- entity types ... adaptation of rule-based annotatorsfor named- entity recognition tasks. In EMNLP, pages1002–1012.Aaron Cohen. 2005. Unsupervised gene/protein named entity normalization using automatically...
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Báo cáo khoa học: "Automatic Acquisition of Named Entity Tagged Corpus from World Wide Web" pot
... Lin-guistics, 28(1):53–70.Manabu Sassano and Takehito Utsuro. 2000. Named Entity Chunking Techniques in Supervised Learningfor Japanese Named Entity Recognition. In Proceed-ings of the 18th International ... Information and a Preference Rule. Jour-nal of Korean Information Science Society, 24(8):900–909.GuoDong Zhou and Jian Su. 2002. Named Entity Recognition using an HMM-based Chunk Tagger. InProceedings ... usefulto the manually tagged one without anyhuman intervention.1 IntroductionCurrent trend in Named Entity Recognition (NER) isto apply machine learning approach, which is moreattractive because...
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Báo cáo khoa học: "Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning" pdf
... packages/ memt,January.Manabu Sassano and Takehito Utsuro. 2000. Named entity chunking techniques in supervised learningfor Japanese named entity recognition. In Proceed-ings of the International ... Constantine D. Spyropoulos. 2000.Learning decision trees for named- entity recogni-tion and classification. In ECAI Workshop on Ma-chine Learning for Information Extraction.J. Ross Quinlan. 1993. C4.5: ... Kyoto619-0237, Japanisozaki@cslab.kecl.ntt.co.jpAbstract Named entity (NE) recognition is atask in which proper nouns and nu-merical information in a document aredetected and classified into...
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Báo cáo khoa học: "The Multilingual Named Entity Recognition Framework" ppt
... different from elaborating a dictionary!156The Multilingual Named Entity Recognition FrameworkThierry Poibeau and the INaLCO Named Entity Group'INaLCO/CRIIVI2 rue de Lille75007 ParisAbstractThis ... IntroductionSince the MUC conferences about Information Extraction, named entity recognition (NERC) isa well-established task in the NLP community(MUC-6, 1995). Examples of named entities areperson names, ... openframework to develop resources and tools for named entity recognition. A team ofcomputational linguist students develops thisThe members of the INaLCO Named Entity Groupare: A. Acoulon, C. Avaux,...
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Báo cáo khoa học: "A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools" pot
... thosefree texts. They provide algorithms for analyz-ing atomic information elements which occur in asentence and identify Named Entity (NE) such asname of people or organizations, locations, ... text, classify and disambiguatethis information - they make use of different algo-rithms and provide different outputs.This paper presents NERD (Named Entity Recognition and Disambiguation), ... Evaluating Named Entity Recognition Tools inthe Web of Data. 10thInternational Semantic WebConference (ISWC’11), Demo Session, Bonn, Ger-many.Rizzo G. and Troncy R. 2011. NERD: Evaluat-ing Named...
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Báo cáo khoa học: "Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation" potx
... to find whether a N-gram is a named entity, we match it to the named entity list extracted using the open-Calais API3, which contains more than 30 types of named entities, such as Person, ... high-quality named entity disambiguation me-thods. Currently, the common methods for named entity disambiguation include name ob-servation clustering (Bagga and Baldwin, 1998) and entity linking ... knowledge captured in the structural semantic relatedness measure for named entity disambiguation. Because the key problem of named entity disambiguation is to measure the similarity between name...
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- scalable mining of named entity transliterations
- learningbased named entity recognition
- bootstrapping named entity recognition
- japanese named entity recognition
- exploiting named entity taggers
- named entity variants – grammardriven approaches
- chemical named entity recognition
- weakly supervised named entity
- unsupervised language model adaptation incorporating named entity information
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