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Temporal Reasoning in Natural Language Processing: A Survey

by Suresh Kumar Sanampudi, G.Vijaya Kumari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 4
Year of Publication: 2010
Authors: Suresh Kumar Sanampudi, G.Vijaya Kumari
10.5120/100-209

Suresh Kumar Sanampudi, G.Vijaya Kumari . Temporal Reasoning in Natural Language Processing: A Survey. International Journal of Computer Applications. 1, 4 ( February 2010), 53-57. DOI=10.5120/100-209

@article{ 10.5120/100-209,
author = { Suresh Kumar Sanampudi, G.Vijaya Kumari },
title = { Temporal Reasoning in Natural Language Processing: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 4 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 53-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number4/100-209/ },
doi = { 10.5120/100-209 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:44:13.716142+05:30
%A Suresh Kumar Sanampudi
%A G.Vijaya Kumari
%T Temporal Reasoning in Natural Language Processing: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 4
%P 53-57
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Reasoning with temporal information in natural language text has attracted great attention due to its potential applications in summarization, question answering and other tasks. For example, the chronological ordering of events described in a text is important for presenting the information in the summary. Linking information in a natural language text with temporal relations is essential in question answering system to address time sensitive and dynamic world. A crucial first step towards the computational treatment of the temporal information in these applications is the automatic extraction of events described in the text and identification of temporal relations to link these events. Much of the work done in this direction can be classified as -Annotation schemes for identification of events and time implicit in the text, linking the events using temporal relations and Temporal reasoning for solving practical applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Temporal reasoning Temporal information extraction Time in natural language processing

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