Appariement de contenus textuels dans le domaine de la presse en ligne : développement et adaptation d'un système de recherche d'information

Autor: Désoyer, Adèle

L'objectif de cette thèse, menée dans un cadre industriel, est d'apparier des contenus textuels médiatiques. Plus précisément, il s'agit d'apparier à des articles de presse en ligne des vidéos pertinentes, pour lesquelles nous disposons d'une

Externí odkaz: http://www.theses.fr/2017PA100119/document

Pairing text content from on-line news sites: Development and adaptation of an Information Retrieval System

Autor: Désoyer, Adèle

Publikováno v: Linguistique. Université Paris Nanterre, 2017. Français

The goal of this thesis, conducted within an industrial framework, is to pair textual media content. Specifically, the aim is to pair on-line news articles to relevant videos for which we have a textual description. The main issue is then a matter of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::bf8faa3b9cc3c44553ff653f22a5b3ca
https://tel.archives-ouvertes.fr/tel-01713076

Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR

Autor: Désoyer, Adèle, Landragin, Frédéric, Tellier, Isabelle, Lefeuvre-Halftermeyer, Anaïs, Antoine, Jean-Yves, Dinarelli, Marco

Publikováno v: Computational Linguistics and Intelligent Text Processing.
Computational Linguistics and Intelligent Text Processing., n° 9623-9624, Springer, 2018, Lecture Notes in Computer Science
17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'2016)
17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'2016), Apr 2016, Konya, Turkey

International audience; We present CROC (Coreference Resolution for Oral Corpus), the first machine learning system for coreference resolution in French. One specific aspect of the system is that it has been trained on data that come exclusively from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::965a9225447895838659050901b09a4f
https://hal.science/hal-01344977

Coreference Resolution for Oral Corpus: a machine learning experiment with ANCOR corpus

Autor: Désoyer, Adèle, Landragin, Frédéric, Tellier, Isabelle, Lefeuvre, Anaïs, Antoine, Jean-Yves

Publikováno v: Revue TAL
Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2015, Traitement automatique du langage parlé, 55 (2), pp.97-121

We present CROC (Coreference Resolution for Oral Corpus), the first machine learning system for coreference resolution in French. One specific aspect of the system is that it has been trained on data that are exclusively oral, namely ANCOR (ANaphora

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a89e7b375199ed3766cbdfd6708890b4
https://halshs.archives-ouvertes.fr/halshs-01153297