Search Results for author: Ga{\"e}l de Chalendar

Found 11 papers, 2 papers with code

Iagotchi : vers un agent conversationnel artistique (Iagotchi : Towards an Artistic Conversational Agent )

1 code implementation JEPTALNRECITAL 2020 Frejus Laleye, Ga{\"e}l de Chalendar, L{\'e}opold Frey, Rocio Berenguer

Cet article d{\'e}crit Iagotchi, un personnage virtuel philosophique et artistique qui apprend et d{\'e}veloppe des connaissances {\`a} partir de ses interactions avec l{'}humain.

A French Medical Conversations Corpus Annotated for a Virtual Patient Dialogue System

1 code implementation LREC 2020 Fr{\'e}jus A. A. Laleye, Ga{\"e}l de Chalendar, Antonia Blani{\'e}, Antoine Brouquet, Dan Behnamou

Data-driven approaches for creating virtual patient dialogue systems require the availability of large data specific to the language, domain and clinical cases studied.

Taking into account Inter-sentence Similarity for Update Summarization

no code implementations IJCNLP 2017 Ma{\^a}li Mnasri, Ga{\"e}l de Chalendar, Olivier Ferret

Following Gillick and Favre (2009), a lot of work about extractive summarization has modeled this task by associating two contrary constraints: one aims at maximizing the coverage of the summary with respect to its information content while the other represents its size limit.

Document Summarization Extractive Summarization +5

Int\'egration de la similarit\'e entre phrases comme crit\`ere pour le r\'esum\'e multi-document (Integrating sentence similarity as a constraint for multi-document summarization)

no code implementations JEPTALNRECITAL 2016 Ma{\^a}li Mnasri, Ga{\"e}l de Chalendar, Olivier Ferret

Dans cet article, nous reprenons le cadre d{\'e}fini par Gillick {\&} Favre (2009) mais nous examinons comment et dans quelle mesure la prise en compte explicite de la similarit{\'e} s{\'e}mantique des phrases peut am{\'e}liorer les performances d{'}un syst{\`e}me de r{\'e}sum{\'e} multi-document.

Document Summarization Multi-Document Summarization +2

Adapting VerbNet to French using existing resources

no code implementations LREC 2014 Quentin Pradet, Laurence Danlos, Ga{\"e}l de Chalendar

VerbNet is an English lexical resource for verbs that has proven useful for English NLP due to its high coverage and coherent classification.

Machine Translation Semantic Role Labeling +3

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