Nlp question answering
[DOC File]PARADE GAME: IMPACT OF WORK FLOW VARIABILITY ON …
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With a question answering system available, on-site personnel can simply input the question and get the information back using handheld devices. Although this system has demonstrated the potential applications for NLP in project management, further research questions remain to be explored.
[DOC File]nlp.stanford.edu
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Semantic role labeling (SRL) for verbs is an establish task in NLP, and a core component of tasks like Information Extraction and Question-Answering (Gildea & Jurafsky 2002, Carreras & Màrquez 2005, Toutanova, Haghighi & Manning 2005) but semantic role labeling for nominals has received much less attention (Lapata 2002, Pradhan et al 2004, Liu ...
[DOC File]Computational Lexicons and Dictionaries - CL Res
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In considering the NLP applications of word-sense disambiguation, information extraction, question answering, and summarization, there is a clear need for increasing amounts of semantic information. The main problem facing these applications is a need to identify paraphrases, that is, identifying whether a complex string of words carries more ...
[DOC File]ONTOLOGY-DRIVEN MULTI-SOURCE QUESTION ANSWERING
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ONTOLOGY-DRIVEN QUESTION ANSWERING AND ONTOLOGY QUALITY EVALUATION. by. SAMIR TARTIR. M.S. of Computer Science, University of Jordan, Jordan, 2002. B.Sc. of Computer Science, University of Jordan, Jordan, 1998. A Dissertation Submitted to the Graduate Faculty of the University of Georgia in Partial Fulfillment of the Requirements for the Degree.
[DOC File]For a new edition of the Encyclopedia of Language and ...
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question answering, information extraction, document . summarisation. etc. Thus, NLP does require a task: it is not in itself a program of scientific investigation, which is what CL normally claims to be, and that remains a significant difference between two very close terms.
[DOC File]Academic Report for IJCNLP-08
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The final day of the main conference saw sessions with focus on Question Answering, Ontologies and Linguistic Resources, Event/ Sentence Relation and Statistical Models for NLP. The Question Answering session featured papers using both stochastic as well as corpus-based methods while the session on Event/Sentence Relation had a paper on the ...
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