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Published in:
2006 | OriginalPaper | Chapter
Using Syntactic Distributional Patterns for Data-Driven Answer Extraction from the Web
Authors : Alejandro Figueroa, John Atkinson
Published in: MICAI 2006: Advances in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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In this work, a data-driven approach for extracting answers from web-snippets is presented. Answers are identified by matching contextual distributional patterns of the expected answer type(EAT) and answer candidates. These distributional patterns are directly learnt from previously annotated tuples {
question, sentence, answer
}, and the learning mechanism is based on the principles language acquisition. Results shows that this linguistic motivated data-driven approach is encouraging.