Papers by Mickael Coustaty

2 papers
Lazy-k Decoding: Constrained Decoding for Information Extraction (2023.emnlp-main)

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Challenge: Specifically, we combine probabilistic models with constrained decoding approaches in structured prediction tasks.
Approach: They propose a constrained decoding method called Lazy-k to combine probabilistic models with constrained methods in structured prediction.
Outcome: The proposed method allows for more flexibility between decoding time and accuracy.
Dataset for Temporal Analysis of English-French Cognates (2020.lrec-1)

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Challenge: Using computational techniques to study language evolution has gained much attention . comparing two or more languages can shed light on how they co-evolve .
Approach: They propose to use a dataset to investigate the similarity in evolution between languages by comparing cognates across time.
Outcome: The proposed dataset is the first to use computational approaches and large data to make a cross-language diachronic analysis.

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