Predicting answer location using shallow semantic analogical reasoning in a factoid question answering system

Hapnes Toba, Mirna Adriani, Ruli Manurung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper we report our work on a factoid question answering task that avoids named-entity recognition tool in the answer selection process. We use semantic analogical reasoning to find the location of the final answer from a textual passage.We demonstrate that without employing any linguistic tools during the answer selection process, our approach achieves a better accuracy than a typical factoid question answering architecture.

Original languageEnglish
Title of host publicationProceedings of the 26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012
Pages246-253
Number of pages8
Publication statusPublished - 1 Dec 2012
Event26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012 - Bali, Indonesia
Duration: 7 Nov 20127 Nov 2012

Publication series

NameProceedings of the 26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012

Conference

Conference26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012
Country/TerritoryIndonesia
CityBali
Period7/11/127/11/12

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