Papers by Frederic Herledan

1 papers
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations (D19-58)

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Challenge: Recent large corpora of triplets have opened the door to supervised machine learning approaches for Question-Answering.
Approach: They propose to generate questions from the semantic Frame analysis of large corpora using a CALOR-QUEST resource in French and use it to improve machine reading comprehension.
Outcome: The proposed method generates questions from the semantic Frame analysis of large corpora and then tests them on the CALOR-QUEST resource in French.

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