Search Results for author: Martin Raison

Found 3 papers, 2 papers with code

Training Millions of Personalized Dialogue Agents

1 code implementation EMNLP 2018 Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, Antoine Bordes

Current dialogue systems are not very engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies.

Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading

no code implementations27 Apr 2018 Martin Raison, Pierre-Emmanuel Mazaré, Rajarshi Das, Antoine Bordes

This paper aims at improving how machines can answer questions directly from text, with the focus of having models that can answer correctly multiple types of questions and from various types of texts, documents or even from large collections of them.

Open-Domain Question Answering Reading Comprehension

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