Search Results for author: Antoine J. -P. Tixier

Found 11 papers, 6 papers with code

Safer Together: Machine Learning Models Trained on Shared Accident Datasets Predict Construction Injuries Better than Company-Specific Models

no code implementations9 Jan 2023 Antoine J. -P. Tixier, Matthew R. Hallowell

In this study, we capitalized on a collective dataset repository of 57k accidents from 9 companies belonging to 3 domains and tested whether models trained on multiple datasets (generic models) predicted safety outcomes better than the company-specific models.

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

4 code implementations EMNLP 2021 Moussa Kamal Eddine, Antoine J. -P. Tixier, Michalis Vazirgiannis

We show BARThez to be very competitive with state-of-the-art BERT-based French language models such as CamemBERT and FlauBERT.

 Ranked #1 on Text Summarization on OrangeSum (using extra training data)

FLUE Natural Language Understanding +4

Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings

1 code implementation EACL 2021 Christos Xypolopoulos, Antoine J. -P. Tixier, Michalis Vazirgiannis

A valuable by-product of our method is the ability to sample, at no extra cost, sentences containing different senses of a given word.

Message Passing Attention Networks for Document Understanding

2 code implementations17 Aug 2019 Giannis Nikolentzos, Antoine J. -P. Tixier, Michalis Vazirgiannis

In this paper, we represent documents as word co-occurrence networks and propose an application of the message passing framework to NLP, the Message Passing Attention network for Document understanding (MPAD).

document understanding Multi-Modal Document Classification +2

AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes

no code implementations16 Aug 2019 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 learning.

BIG-bench Machine Learning Injury Prediction

Automatically Learning Construction Injury Precursors from Text

no code implementations26 Jul 2019 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 understanding of safety incidents and ability to learn from them.


Notes on Deep Learning for NLP

7 code implementations29 Aug 2018 Antoine J. -P. Tixier

My notes on Deep Learning for NLP.

Perturb and Combine to Identify Influential Spreaders in Real-World Networks

no code implementations13 Jul 2018 Antoine J. -P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis

Some of the most effective influential spreader detection algorithms are unstable to small perturbations of the network structure.

Word Embeddings for the Construction Domain

1 code implementation28 Oct 2016 Antoine J. -P. Tixier, Michalis Vazirgiannis, Matthew R. Hallowell

Our vectors were obtained by running word2vec on an 11M-word corpus that we created from scratch by leveraging freely-accessible online sources of construction-related text.

Benchmarking General Classification +1

Construction Safety Risk Modeling and Simulation

no code implementations26 Sep 2016 Antoine J. -P. Tixier, Matthew R. Hallowell, Balaji Rajagopalan

By applying our methodology on an attribute and outcome dataset directly obtained from 814 injury reports, we show that the frequency-magnitude distribution of construction safety risk is very similar to that of natural phenomena such as precipitation or earthquakes.

Decision Making Decision Making Under Uncertainty +1

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