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Unsupervised extraction of semantic relations using discourse cues

Conrath, Juliette and Afantenos, Stergos and Asher, Nicholas and Muller, Philippe Unsupervised extraction of semantic relations using discourse cues. (2014) In: International Conference on Computational Linguistics - COLING 2014, 23 August 2014 - 29 August 2014 (Dublin, Ireland).

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Abstract

This paper presents a knowledge base containing triples involving pairs of verbs associated with semantic or discourse relations. The relations in these triples are marked by discourse connectors between two adjacent instances of the verbs in the triple in the large French corpus, frWaC. We detail several measures that evaluate the relevance of the triples and the strength of their association. We use manual annotations to evaluate our method, and also study the coverage of our resource with respect to the discourse annotated corpus Annodis. Our positive results show the potential impact of our resource for discourse analysis tasks as well as other semantically oriented tasks like temporal and causal information extraction

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACL Anthology. The definitive version is available at http://anthology.aclweb.org/C/C14/. It is licenced under a Creative Commons Attribution 4.0 International License; License details : http://creativecommons.org/licenses/by/4.0/.
HAL Id:hal-01142604
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Funders:
ANR-12-CORD-0004
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Deposited By: IRIT IRIT
Deposited On:01 Apr 2015 08:17

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