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Title:
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A QUESTION ANSWERING SYSTEM BASED ON GRAMMATICAL STRUCTURE MATCHING |
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Author(s):
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Ahad Niknia , Leila Sharif Hassanabadi |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V I, 2 |
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Keywords:
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Question Answering System, Answer Extraction, Natural Language Processing, POS-Tagging, Information Retrieval |
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Type:
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Full Paper |
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First Page:
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165 |
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Last Page:
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172 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper introduces an Open Domain Question Answering system for wh-questions based on grammatical structure of
questions and the corresponding answers. This system also uses IR methods for efficient processing. We introduce our
reduced tags set and scoring system for grammatical structures of questions and answers. The system uses POS-taggers
because of their simplicities and reliable structures based on PCFG grammars to produce tags for questions and document
sentences as our entry sentences. After tags for a given question extracted, the system uses proposed answer table to
obtain possible answer's grammatical structure and their values. Then give the results to special search engine, based on
new index system that is proposed in this paper, and extracts possible answers to a given question with a score associated
to each of them. Then proposes a special formula based on advanced IR techniques and grammatical analyze - for
ranking our candidate sentences. Finally we produce answer's list for a given question to user in decreasing order. |
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