16 citations · 59 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
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…
AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes
Henrietta Baker, Matthew R. Hallowell, Antoine J. -P. Tixier
This paper significantly improves on, and finishes to validate, an approach proposed in previous research in which safety outcomes were predicted from attributes with machine learn…
Automatically Learning Construction Injury Precursors from Text
Henrietta Baker, Matthew R. Hallowell, Antoine J. -P. Tixier
In light of the increasing availability of digitally recorded safety reports in the construction industry, it is important to develop methods to exploit these data to improve our u…
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…