A system for unsupervised knowledge-free interpretable word sense disambiguation based on distributional semantics

A system for word sense induction and disambiguation based on JoBimText approach

Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.

Using graph connectivity in WordNets and PageRank style algorithm to develop an unsupervised word-sense disambiguation tool.

Utilisation d'un réseau de neurones pour une tâche de désambiguisation des sens de verbes en contexte.