Answer type identification for question answering: Supervised learning of dependency graph patterns from natural language questions

Andrew D. Walker*, Panos Alexopoulos, Andrew Starkey, Jeff Z. Pan, José Manuel Gómez-Pérez, Advaith Siddharthan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Question Answering research has long recognised that the identification of the type of answer being requested is a fundamental step in the interpretation of a question as a whole. Previous strategies have ranged from trivial keyword matches, to statistical analyses, to well-defined algorithms based on shallow syntactic parses with userinteraction for ambiguity resolution. A novel strategy combining deep NLP on both syntactic and dependency parses with supervised learning is introduced and results that improve on extant alternatives reported. The impact of the strategy on QALD is also evaluated with a proprietary Question Answering system and its positive results analysed.

Original languageEnglish
Title of host publicationSemantic Technology
Subtitle of host publication5th Joint International Conference, JIST 2015, Yichang, China, November 11-13, 2015, Revised Selected Papers
EditorsGuilin Qi, Kouji Kozaki, Jeff Z Pan, Siwei Yu
PublisherSpringer-Verlag
Pages235-251
Number of pages17
Volume9544
ISBN (Electronic)978-3-319-31676-5
ISBN (Print)978-3-319-31675-8
DOIs
Publication statusPublished - 2016
Event5th Joint International Conference on Semantic Technology, JIST 2015 - Yichang, China
Duration: 11 Nov 201513 Nov 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9544
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference5th Joint International Conference on Semantic Technology, JIST 2015
CountryChina
CityYichang
Period11/11/1513/11/15

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Walker, A. D., Alexopoulos, P., Starkey, A., Pan, J. Z., Gómez-Pérez, J. M., & Siddharthan, A. (2016). Answer type identification for question answering: Supervised learning of dependency graph patterns from natural language questions. In G. Qi, K. Kozaki, J. Z. Pan, & S. Yu (Eds.), Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang, China, November 11-13, 2015, Revised Selected Papers (Vol. 9544, pp. 235-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9544). Springer-Verlag. https://doi.org/10.1007/978-3-319-31676-5_17