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Reseach Article

Temporal Reasoning in Natural Language Processing: A Survey

by Suresh Kumar Sanampudi, G.Vijaya Kumari
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.

References
  1. [ 1 ] Allen J.F, 1983, “Maintaining knowledge about temporal intervals”. Communications of the ACM 26 , pp-832–843.
  2. [ 2 ] Arun K. Pujari, G. Vijaya Kumari, Abdul Sattar, “INDU: 1999, An Interval and Duration Network”, in Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence Vol 1714, pp 291-303.
  3. [ 3 ] Benjamin Han, 2003 “Time calculus for natural language - tagging guidelines.” Unpublished draft, Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA.
  4. [ 4 ] Bernhard Nebel, Hans-Jürgen Bürckert, 1995, "Reasoning about Temporal Relations: A Maximal Tractable Subclass of Allen's Interval Algebra " Published in the Journal of ACM 42(1): pg:43-66.
  5. [ 5 ] David Ahu, Sisay Fissaha and Maarten de Rijke, 2005, “Towards Tasks based Temporal Extraction and recognition”, In the proceedings of Annotating, Extracting and Reasoning about Time and Events, International Seminar, Dagstuhl Castle, Germany, April 10-15.
  6. [ 6 ] Ferro L., Mani I., Sundheim B., and Wilson G. 2000, TIDES Temporal Annotation Guidelines. Draft Version 1.0. MITRE Technical Report MTR 00W0000094
  7. [ 7 ] Frank Schilder, 2007, “Event Extraction and Temporal Reasoning in Legal Documents” , In the proceedings of Annotating, Extracting and Reasoning about Time, LNAI-Volume 4795/2007, pp:59-71.
  8. [ 8 ] G Vijaya kumari, Arun K pujari, 2002, “Maximality of pre-convex class in INDU”, KBCS
  9. [ 9 ] Han B. and Kohlhase M. 2003, “A time calculus for natural language”. In Proceedings of the 4th Workshop on Inference in Computational Semantics (Nancy, France).
  10. [ 10 ] Inderjeet Mani, 2007, Chronoscopes: A Theory of Underspecified Temporal Representations. Reasoning about Time and Events. Springer LNAI 4795-0127. pp: 127-139.
  11. [ 11 ] Inderjeet Mani and Ben Wellner. 2006. A Pilot Study on Acquiring Metric and Temporal Constraints for Events. In Proceedings of Annotating and reasoning about Time and Events (ARTE). Sydney, Australia.
  12. [ 12 ] James Pustejovsky et al, .2004,, “The Specification Language TIMEML”, The Language of time: A Reader, Oxford University Press.
  13. [ 13 ] James Pustejovsky et al.,2003, “TimeML Robust Specification of Events and Temporal Expressions in text”, in proceedings of AAAI Spring Symposium on New Directions in Question answering.
  14. [ 14 ] Negri M. and L. Marseglia,. 2005, Recognition and Normalization of Time Expressions: ITC-irst at TERN 2004. Technical Report WP3.7, Information Society Technologies
  15. [ 15 ] Peter van beek, Robin Cohen, 1990, “Exact and Approximate reasoning about Temporal, Relations”, Journal of Computational Intelligence, Vol 6, pp 132-144.
  16. [ 16 ] Roser Saurí and Marc Verhagen..2005, Temporal Information in Intensional Contexts. Bunt, IWCS-6. Sixth International Workshop on Computational Semantics: pp 404-406.
Index Terms

Computer Science
Information Sciences

Keywords

Temporal reasoning Temporal information extraction Time in natural language processing