2 citations · 5 across the 4 of their papers we have counts for
6 papers
Learning to Match Mathematical Statements with Proofs
Maximin Coavoux, Shay B. Cohen
We introduce a novel task consisting in assigning a proof to a given mathematical statement. The task is designed to improve the processing of research-level mathematical texts. Ap…
Self-Supervised and Controlled Multi-Document Opinion Summarization
Hady Elsahar, Maximin Coavoux, Matthias Gallé +1
We address the problem of unsupervised abstractive summarization of collections of user generated reviews with self-supervision and control. We propose a self-supervised setup that…
FlauBERT: Unsupervised Language Model Pre-training for French
Hang Le, Loïc Vial, Jibril Frej +7
Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks. Leveraging the huge amount of unlabeled texts…
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle
Maximin Coavoux, Shay B. Cohen
We introduce a novel transition system for discontinuous constituency parsing. Instead of storing subtrees in a stack --i.e. a data structure with linear-time sequential access-- t…
Unlexicalized Transition-based Discontinuous Constituency Parsing
Maximin Coavoux, Benoît Crabbé, Shay B. Cohen
Lexicalized parsing models are based on the assumptions that (i) constituents are organized around a lexical head (ii) bilexical statistics are crucial to solve ambiguities. In thi…
Privacy-preserving Neural Representations of Text
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
This article deals with adversarial attacks towards deep learning systems for Natural Language Processing (NLP), in the context of privacy protection. We study a specific type of a…