The semantic representation of temporal expressions in text

Robert Dale*, Pawel Mazur

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Temporal expressions-references to points in time or periods of time-are widespread in text, and their proper interpretation is essential for any natural language processing task that requires the extraction of temporal information. Work on the interpretation of temporal expressions in text has generally been pursued in one of two paradigms: the formal semantics approach, where an attempt is made to provide a well-grounded theoretical basis for the interpretation of these expressions, and the more pragmatically-focused approach represented by the development of the TIMEX2 standard, with its origins in work in information extraction. The former emphasises formal elegance and consistency; the latter emphasises broad coverage for practical applications. In this paper, we report on the development of a framework that attempts to integrate insights from both perspectives, with the aim of achieving broad coverage of the domain in a well-grounded manner from a formal perspective. We focus in particular on the development of a compact notation for representing the semantics of underspecified temporal expressions that enables the component-level evaluation of systems.

Original languageEnglish
Title of host publicationAI 2007: Advances in Artificial Intelligence - 20th Australian Joint Conference on Artificial Intelligence, Proceedings
EditorsMehmet A. Orgun, John Thornton
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Pages435-444
Number of pages10
Volume4830 LNAI
ISBN (Print)9783540769262
Publication statusPublished - 2007
Event20th Australian Joint Conference on Artificial Intelligence, AI 2007 - Gold Coast, Australia
Duration: 2 Dec 20076 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4830 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other20th Australian Joint Conference on Artificial Intelligence, AI 2007
CountryAustralia
CityGold Coast
Period2/12/076/12/07

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