William Léchelle

Also published as: William Lechelle


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WiRe57 : A Fine-Grained Benchmark for Open Information Extraction
William Lechelle | Fabrizio Gotti | Phillippe Langlais
Proceedings of the 13th Linguistic Annotation Workshop

We build a reference for the task of Open Information Extraction, on five documents. We tentatively resolve a number of issues that arise, including coreference and granularity, and we take steps toward addressing inference, a significant problem. We seek to better pinpoint the requirements for the task. We produce our annotation guidelines specifying what is correct to extract and what is not. In turn, we use this reference to score existing Open IE systems. We address the non-trivial problem of evaluating the extractions produced by systems against the reference tuples, and share our evaluation script. Among seven compared extractors, we find the MinIE system to perform best.


Revisiting the Task of Scoring Open IE Relations
William Léchelle | Philippe Langlais
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


Using distributed word representations for robust semantic role labeling (Utilisation de représentations de mots pour l’étiquetage de rôles sémantiques suivant FrameNet) [in French]
William Léchelle | Philippe Langlais
Proceedings of TALN 2014 (Volume 1: Long Papers)