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Conference papers
Detecting salient events in large corpora by a combination of NLP and data mining techniques (poster)
Abstract : In this paper, we present a framework and a system that extracts "salient" events relevant to a query from a large collection of documents, and which also enables events to be placed along a timeline. Each event is represented by a sentence extracted from the collection. We have conducted some experiments showing the interest of the method for this issue. Our method is based on a combination of linguistic modeling (concerning temporal adverbial meanings), symbolic natural language processing techniques (using cascades of morpho-lexical transducers) and data mining techniques (namely, sequential pattern mining under constraints). The system was applied to a corpus of newswires in French provided by the Agence France Presse (AFP). Evaluation was performed in partnership with French newswire agency journalists.
https://hal.archives-ouvertes.fr/hal-01023926
Contributor : Greyc Référent <>
Submitted on : Tuesday, July 15, 2014 - 2:31:18 PM
Last modification on : Thursday, December 10, 2020 - 3:44:35 AM
Long-term archiving on: : Friday, November 21, 2014 - 6:07:51 PM
Contributor : Greyc Référent <>
Submitted on : Tuesday, July 15, 2014 - 2:31:18 PM
Last modification on : Thursday, December 10, 2020 - 3:44:35 AM
Long-term archiving on: : Friday, November 21, 2014 - 6:07:51 PM
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ACTI-BATTISTELLI-2013-1.pdf
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