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NLP Library

Found 463 results
[ Author(Asc)] Title Type Year
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Zwarts S, Dras M.  2008.  Syntax-Based Word Reordering in Phrase-Based Statistical Machine Translation: Why Does it Work? MT Summit.
Zwarts S, Dras M.  2008.  Morphosyntactic Target Language Matching in Statistical Machine Translation. ALTA 2008.
Ziem A.  2013.  Beyond the sentence: Towards a cognitive-linguistic approach to textual reference. Yearbook of the German Cognitive Linguistics Association. 1(1):39–58.
Zhou L, Twitchell DP, Qin T, Burgoon JK, Nunamaker, Jr. JF.  2003.  An Exploratory Study into Deception Detection in Text-based Computer-Mediated Communication. 36th Hawaii International Conference on System Sciences (HICSS’03) .
Zhao Y, Gao S, Liu H.  2009.  Factors influencing dependency parsing of coordinating structure. International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE 2009). :1-6.
van Zaanen M, Mollá D, Pizzato L A.  2006.  AnswerFinder at TREC 2006. TREC 2006.
Y
Yoo S, Gates D, Levin L, Fung S, Agarwal S, Freed M.  2008.  Using Semantic Features to Improve Task Identification in Email Messages. Natural Language and Information Systems. 5039:355-357.
Ylönen TJ.  2011.  Weight-Ordered Enumeration of Referents and Cutting Off Lengthy Enumerations.
Yli-Jyrä A.  2005.  Contributions to the Theory of Finite-State Based Grammars.
Yli-Jyrä A, Karttunen L.  2005.  Finite-State Methods and Natural Language Processing FSMNLP 2005.
Yin L, Power R.  2006.  Adapting the Naive Bayes Classifier to Rank Procedural Texts. Advances in Information Retrieval. 3936:179-190.
Yin L.  2006.  A two-stage approach to retrieving answers for how-to questions. Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop. :63–70.
Yangarber R, Grishman R, Tapanainen P.  2000.  Automatic Acquisition of Domain Knowledge for Information Extraction. 18th International Conference on Computational Linguistics.
Yangarber R.  2003.  Counter-Training in Discovery of Semantic Patterns. Forty-First Annual Meeting of the Association for Computational Linguistics. :343–350.
Yan Y, Matsuo Y, Ishizuka M, Yokoi T.  2008.  Annotating an Extension Layer of Semantic Structure for Natural Language Text. Proceedings of the 2008 IEEE International Conference on Semantic Computing. :174–181.
Yan Y, Matsuo Y, Ishizuka M, Yokoi T.  2008.  Relation Classification for Semantic Structure Annotation of Text. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.
Yan Y, Li H, Matsuo Y, Ishizuka M.  2010.  Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features. Computational Linguistics and Intelligent Text Processing. 6008:525-536.
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Xian B C M, Zahari F, Lukose D.  2011.  Benchmarking ARS: anaphora resolution system. 11th International Conference on Knowledge Management and Knowledge Technologies.
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Witt A, Stührenberg M, Goecke D, Metzing D.  2012.  Integrated Linguistic Annotation Models and Their Application in the Domain of Antecedent Detection. Modeling, Learning, and Processing of Text Technological Data Structures. 370:197-218.
Wayland S, Saner L, Ralph A, O’Connell S, Linck J, Kramasz D, Gynther K.  2013.  The long and the short of it.
Wattarujeekrit T, Collier N.  2005.  Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain. Discovery Science. 3735:267-280.
Wan S, Dras M, Dale R, Paris C.  2005.  Statistically Generated Summary Sentences: A Preliminary Evaluation using a Dependency Relation Precision Metric. Corpus Linguistics 2005 Workshop on Using Corpora for Natural Language Generation.
Wan S, Dale R, Dras M.  2005.  Searching for grammaticality: Propagating dependencies in the Viterbi algorithm. 10th European Natural Language Processing Workshop.
Wan S, Dras M, Dale R, Paris C.  2005.  Towards Statistical Paraphrase Generation: Preliminary Evaluations of Grammaticality. 3rd International Workshop on Paraphrasing (IWP2005).
Wan S, Dras M, Dale R, Paris C.  2006.  Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase. Proceedings of the Australasian Language Technology Workshop 2006. :131-138.

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