Calor-Dial a corpus for Conversational Question Answering on French encyclopedic documents.

Frederic Bechet, Ludivine Robert, Lina Maria Rojas-Barahona, Geraldine Damnati

Abstract: Calor-Dial is an enriched version of the Calor corpus, collected from French encyclopedic data in order to study Information Extraction on domain specific data. The corpus was initially annotated in semantic Frames (Calor-Frame) and enriched with a first set of questions for Machine Reading Question Answering (Calor-Quest). The new Calor-Dial version presented here addresses the scope of conversational Question Answering. The main originality is that different types of questions are annotated, including more challenging configurations than in classical QA corpora. This paper describes the corpus and proposes some baseline results obtained with models trained on the FQuAD corpus.