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Title:
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FOCUSED QUESTION ANSWER EXTRACTION FROM Q/A RICH WEBSITES |
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Author(s):
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David Urbansky , Daniel Schuster , Maximilian Walther , Alexander Schill |
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ISBN:
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978-972-8924-93-5 |
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Editors:
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Pedro Isaías, Bebo White and Miguel Baptista Nunes |
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Year:
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2009 |
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Edition:
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2 |
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Keywords:
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Question Answer Extraction, Machine Learning, Focused Crawling |
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Type:
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Short Paper |
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First Page:
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113 |
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Last Page:
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117 |
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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 presents a focused crawling approach to question answer extraction from Q/A rich websites. Recently,
websites with user generated questions and answers have become very popular and form a source of valuable
information. We present a Q/A extraction system that can collect question answer tuples from these websites and
aggregate them to a knowledge base that can be used for question answering. We show that using a focused crawling
approach works well in the Q/A domain and outperforms the trivial crawling approach regarding time and memory
efficiency. |
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