An example-based approach to difficult pronoun resolution

Canasai Kruengkrai, Naoya Inoue, Jun Sugiura, Kentaro Inui

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

6 Citations (Scopus)

Abstract

AWinograd schema is a pair of twin sentences containing a referential ambiguity that is easy for a human to resolve but difficult for a computer. This paper explores the characteristics of world knowledge necessary for resolving such a schema. We observe that people tend to avoid ambiguous antecedents when using pronouns in writing. We present a method for automatically acquiring examples that are similar to Winograd schemas but have less ambiguity. We generate a concise search query that captures the essential parts of a given source sentence and then find the alignments of the source sentence and its retrieved examples. Our experimental results show that the existing sentences on the Web indeed contain instances of world knowledge useful for difficult pronoun resolution.

Original languageEnglish
Title of host publicationProceedings of the 28th Pacific Asia Conference on Language, Information and Computation, PACLIC 2014
EditorsPrachya Boonkwan, Wirote Aroonmanakun, Thepchai Supnithi
PublisherFaculty of Pharmaceutical Sciences, Chulalongkorn University
Pages358-367
Number of pages10
ISBN (Electronic)9786165518871
Publication statusPublished - 2014
Event28th Pacific Asia Conference on Language, Information and Computation, PACLIC 2014 - Phuket, Thailand
Duration: 2014 Dec 122014 Dec 14

Publication series

NameProceedings of the 28th Pacific Asia Conference on Language, Information and Computation, PACLIC 2014

Conference

Conference28th Pacific Asia Conference on Language, Information and Computation, PACLIC 2014
Country/TerritoryThailand
CityPhuket
Period14/12/1214/12/14

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