Mathieu Constant — accepted AI-conference papers

2024

Beyond Model Performance: Can Link Prediction Enrich French Lexical Graphs?

Hee-Soo Choi, Priyansh Trivedi, Mathieu Constant, Karen Fort, Bruno Guillaume

COLING 2024main

This paper presents a resource-centric study of link prediction approaches over French lexical-semantic graphs. Our study incorporates two graphs, RezoJDM16k and RL-fr, and we evaluated seven link prediction models, with CompGCN-ConvE emerging as the best performer. We also conducted a qualitative a…

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2024

Complex Word Identification: A Comparative Study between ChatGPT and a Dedicated Model for This Task

Abdelhak Kelious, Mathieu Constant, Christophe Coeur

COLING 2024main

There are several works in natural language processing for identifying lexical complexity. This can be for various reasons, either for simplification, the selection of more suitable content, or for other specific tasks. Words can have multiple definitions and degrees of complexity depending on the c…

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