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01/09/2023
Safer Together: Machine Learning Models Trained on Shared Accident Datasets Predict Construction Injuries Better than Company-Specific Models
In this study, we capitalized on a collective dataset repository of 57k ...
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10/16/2021
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation
Fast and reliable evaluation metrics are key to R D progress. While tr...
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10/23/2020
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
Inductive transfer learning, enabled by self-supervised learning, have t...
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03/23/2020
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings
The number of senses of a given word, or polysemy, is a very subjective ...
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08/17/2019
Message Passing Attention Networks for Document Understanding
Most graph neural networks can be described in terms of message passing,...
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08/16/2019
AI Predicts Independent Construction Safety Outcomes from Universal Attributes
This paper significantly improves on, and finishes to validate, the appr...
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07/26/2019
Automatically Learning Construction Injury Precursors from Text
In light of the increasing availability of digitally recorded safety rep...
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07/13/2018
Perturb and Combine to Identify Influential Spreaders in Real-World Networks
Recent research has shown that graph degeneracy algorithms, which decomp...
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10/28/2016
Word Embeddings for the Construction Domain
We introduce word vectors for the construction domain. Our vectors were ...
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09/26/2016