SEmantic LEXicon INduction for Interpretability and diversity in text processing
Research project funded by Agence Nationale de la Recherche (2022 – 2026)
The goal of the SELEXINI project is to develop next-generation lexicon induction methods for natural language processing. The induced lexicons will not only cluster word usages according to their senses, but also contain multiword expressions, argumental structure, generated definitions, etc, combining the power of large pre-trained language models and existing lexical resources to address the lack of interpretability and diversity in current language technology.