activity
20182021
most citedFrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation

4 citations · 4 across the 1 of their papers we have counts for

collaborators

8 papers

cs.CL20214 cited

FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation

Moussa Kamal Eddine, Guokan Shang, Antoine J. -P. Tixier +1

Fast and reliable evaluation metrics are key to R&D progress. While traditional natural language generation metrics are fast, they are not very reliable. Conversely, new metrics ba…

cs.CL2020

BARThez: a Skilled Pretrained French Sequence-to-Sequence Model

Moussa Kamal Eddine, Antoine J. -P. Tixier, Michalis Vazirgiannis

Inductive transfer learning has taken the entire NLP field by storm, with models such as BERT and BART setting new state of the art on countless NLU tasks. However, most of the ava…

cs.CL2019

Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding

Jean-Baptiste Remy, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis

The Hierarchical Attention Network (HAN) has made great strides, but it suffers a major limitation: at level 1, each sentence is encoded in complete isolation. In this work, we pro…

cs.CL2019

Message Passing Attention Networks for Document Understanding

Giannis Nikolentzos, Antoine J. -P. Tixier, Michalis Vazirgiannis

Graph neural networks have recently emerged as a very effective framework for processing graph-structured data. These models have achieved state-of-the-art performance in many task…

cs.CL2019

Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding

Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis +1

Abstractive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly sum…

cs.CL2018

Notes on Deep Learning for NLP

Antoine J. -P. Tixier

My notes on Deep Learning for NLP.