The aim of this study is the development of such resources for other languages by proposing to generate in a semi-automatic way questions from the semantic ...

The aim of this study is the development of such resources for other languages by proposing to generate in a semi-automatic way questions from the semantic ...

The aim of this study is the development of such resources for other languages by proposing to generate in a semi-automatic way questions from the semantic ...

Here, we present a method that adapts a deep neural architecture from the domain of machine reading comprehension to re-rank the suggested answers from ...

Inproceedings,. CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations. F. Béchet, C.

CALOR-QUEST : Generating a Training Corpus for Machine Reading Comprehension Models From Shallow Semantic Annotations by FREDERIC BECHET, Cindy.

CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations. FREDERIC BECHET | Cindy Aloui ...

CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations · no code implementations • WS 2019 ...

This paper studies the cross-language and cross-domain capabilities of BERT on a Machine Reading Comprehension task on two corpora: SQuAD and a new French ...

CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations. Citing Conference Paper. January 2019.