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Conference papers
Discovering linguistic patterns using sequence mining
Abstract : In this paper, we present a method based on data mining techniques to automatically discover linguistic patterns matching appositive qualifying phrases. We develop an algorithm mining sequential patterns made of itemsets with gap and linguistic constraints. The itemsets allow several kinds of information to be associated with one term. The advantage is the extraction of linguistic patterns with more expressiveness than the usual sequential patterns. In addition, the constraints enable to automatically prune irrelevant patterns. In order to manage the set of generated patterns, we propose a solution based on a partial ordering. A human user can thus easily validate them as relevant linguistic patterns.We illustrate the efficiency of our approach over two corpora coming from a newspaper
Cited literature [18 references]
https://hal.archives-ouvertes.fr/hal-01023109
Contributor : Greyc Référent <>
Submitted on : Tuesday, July 15, 2014 - 9:15:45 AM
Last modification on : Tuesday, March 10, 2020 - 10:10:03 AM
Long-term archiving on: : Thursday, November 20, 2014 - 6:15:11 PM
Contributor : Greyc Référent <>
Submitted on : Tuesday, July 15, 2014 - 9:15:45 AM
Last modification on : Tuesday, March 10, 2020 - 10:10:03 AM
Long-term archiving on: : Thursday, November 20, 2014 - 6:15:11 PM
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ACTI-BECHET-2012-1.pdf
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