PPT-Syntactic and semantic models and

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algorithms in Question Answering Alexander Solovyev Bauman Moscow Sate Technical University asolovievmailru 20102011 1 RCDL Voronezh Agenda Question Answering and

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Syntactic and semantic models and: Transcript

algorithms in Question Answering Alexander Solovyev Bauman Moscow Sate Technical University asolovievmailru 20102011 1 RCDL Voronezh Agenda Question Answering and Answer Validation task. Systems & Resources. Ling573. NLP Systems & Applications. April 8, 2010. Roadmap. Two extremes in QA systems:. LCC’s PowerAnswer-2 . Insight’s Patterns…. Question classification (Li & Roth). RequestsforreprintsshouldbeaddressedtoLeeOsterhout,DepartmentofPsychology,Box351525,UniversityofWashington,Seattle,WA98195.ApreliminaryreportofthisresearchwaspresentedattheCUNYConferenceonHumanSentenc A a A B a a B a factual a linguistic single A word (se Ling573 . NLP Systems and Applications. April 25, 2013. Deliverable #3. Posted: Code & results due May 10. Focus: Question processing. Classification, reformulation, expansion, . etc. Additional: general improvement motivated by D#2. Tutorial. Introduction. Miriam Fernandez | KMI, Open University, UK. Thanh Tran | Institute AIFB, KIT, DE. Peter Mika| Yahoo Research, Spain. Search . Document Retrieval vs. Data Retrieval. Differences of search technologies. Ling573 . NLP Systems and Applications. April 25, 2013. Deliverable #3. Posted: Code & results due May 10. Focus: Question processing. Classification, reformulation, expansion, . etc. Additional: general improvement motivated by D#2. patterning. Syntactic patterns. Antithesis. Listing. Parallelism. Syntactic parallelism. Repetition of similar phrasal . structures. ‘. Listing. ’*. A. ntithesis. Rhetorical contrast of ideas by means of parallel arrangements of words, clauses, or sentences. Nikhil . Rasiwasia. , . Nuno. . Vasconcelos. Statistical Visual Computing Laboratory. University of California, San Diego. Thesis Defense. Ill pause for a few moments so that you all can finish reading this. . LING 7800/CSCI 7000-017 . September 16, 2014. 1. Outline. Recap. Levin’s . Verb . Classes. VerbNet. PropBank. 2. Recap. Fillmore – Cases. useful generalizations, fewer sense distinctions,. Jackendoff. algorithms in. Question Answering. Alexander . Solovyev. Bauman Moscow Sate Technical University. a-soloviev@mail.ru. 20.10.2011. 1. RCDL. Voronezh.. Agenda. Question Answering and Answer Validation task. Guillermo . Garrido. and . Anselmo. . Peñas. NLP & IR Group at UNED. Madrid, Spain. {. ggarrido,anselmo. }@. lsi.uned.es. Shared. . Task. . System. . Description. ACL-HLT 2011 . Workshop. . UN SYSTEME SYNTAXIQUE ET SEMANT|QUE INTEGRE POUR LA COMPREHENSION DU LANGAGE NATUREL Fr&l~rique SEGOND(I) et Karen JENSEN(2) (l)Institut National des T616communications (Evry, France); email: segond the Department set of this grammar the grammar in which very powerful of movinga new AcknowledgmentsI am very grateful to the many people who have influenced this research and madethis thesis possible . Equivalent. . syntagmatic. /. syntactic. position . of. . fog. in . lines. 1-11 . whereas. . there. . is. a . change. in position in . lines. 12-14.. Verbless. . All. . simple. . sentences.

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