Finding base time-lime of a news article

Sandip Debnath, Prasemjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An event without a time-line does not carry much information. Description of an event is useful only when it can be augmented with the time-line of its occurrence. This is more important with the on-line publishing of news articles. News articles are nothing but a set of text-based descriptions of events. Therefore the actual time-lines of the article as well as each individual event are most important ingredients for their informativeness. We introduce a novel approach to find the actual time-lines of news articles whenever available, and tag them with this temporal information. This involves a temporal baseline, which needs to be established for the entire article. Temporal baseline is defined as the date (and possibly time) of when the article had first been published, as stated in the article itself. Without a precise and correct temporal baseline, no further processing of individual events can be possible. We approached this problem of accurately finding the temporal baseline, with a Support-Vector based classification method. We found that the proper choice of parameters to train the Support-Vector classifier can result in high accuracy. We showed the data collection phase, training phase, and the testing phase and report the accuracy of our method for news articles from 26 different Websites. From this result we can claim that our approach can be used to find the temporal baseline of a news article very accurately.

Original languageEnglish
Title of host publicationRecent Advances in Artifical Intelligence - Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005
EditorsI. Russell, Z. Markov
Pages142-147
Number of pages6
Publication statusPublished - 1 Dec 2005
EventRecent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Clearwater Beach, FL, United States
Duration: 15 May 200517 May 2005

Publication series

NameProceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence

Conference

ConferenceRecent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005
CountryUnited States
CityClearwater Beach, FL
Period15/5/0517/5/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Debnath, S., Mitra, P., & Lee Giles, C. (2005). Finding base time-lime of a news article. In I. Russell, & Z. Markov (Eds.), Recent Advances in Artifical Intelligence - Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 (pp. 142-147). (Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence).