Using syntactic distributional patterns for data-driven answer extraction from the Web

Alejandro Figueroa; John Atkinson

doi:10.1007/11925231_94

Using syntactic distributional patterns for data-driven answer extraction from the Web

Alejandro Figueroa, John Atkinson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	MICAI 2006
Subtitle of host publication	Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings
Publisher	Springer Verlag
Pages	985-995
Number of pages	11
ISBN (Print)	3540490264, 9783540490265
DOIs	https://doi.org/10.1007/11925231_94
State	Published - 2006
Externally published	Yes
Event	5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence - Apizaco, Mexico Duration: 13 Nov 2006 → 17 Nov 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4293 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence
Country/Territory	Mexico
City	Apizaco
Period	13/11/06 → 17/11/06

Keywords

Natural language processing
Question answering

Access to Document

10.1007/11925231_94

Cite this

Figueroa, A., & Atkinson, J. (2006). Using syntactic distributional patterns for data-driven answer extraction from the Web. In MICAI 2006: Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings (pp. 985-995). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4293 LNAI). Springer Verlag. https://doi.org/10.1007/11925231_94

Figueroa, Alejandro ; Atkinson, John. / Using syntactic distributional patterns for data-driven answer extraction from the Web. MICAI 2006: Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag, 2006. pp. 985-995 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Using syntactic distributional patterns for data-driven answer extraction from the Web",

abstract = "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.",

keywords = "Natural language processing, Question answering",

author = "Alejandro Figueroa and John Atkinson",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Figueroa, A & Atkinson, J 2006, Using syntactic distributional patterns for data-driven answer extraction from the Web. in MICAI 2006: Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4293 LNAI, Springer Verlag, pp. 985-995, 5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence, Apizaco, Mexico, 13/11/06. https://doi.org/10.1007/11925231_94

Using syntactic distributional patterns for data-driven answer extraction from the Web. / Figueroa, Alejandro; Atkinson, John.
MICAI 2006: Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag, 2006. p. 985-995 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4293 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Question answering

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Figueroa A, Atkinson J. Using syntactic distributional patterns for data-driven answer extraction from the Web. In MICAI 2006: Advances in Artificial Intelligence - 5th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag. 2006. p. 985-995. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11925231_94

Using syntactic distributional patterns for data-driven answer extraction from the Web

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Keywords

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