word-sense-disambiguation

Sentiment Classification using Word Sense Disambiguation

Japanese Natural Langauge Processing Libraries

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

A Word Sense Disambiguation system integrating implicit and explicit external knowledge.

Incorporating Dictionary Knowledge into Neural Word Sense Disambiguation(ACL 2018)

Disambiguate is a tool for training and using state of the art neural WSD models

A pipeline for transliteration, spell correction, POS tagging and word sense disambiguation of Hinglish code mixed data to Hindi Devanagari script.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Word Sense Induction with BERT MLM

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

Sequence Labeling in Tensorflow

Universal Semantic Annotator (LREC 2022)

Data and code for "Nibbling at the Hard Core of Word Sense Disambiguation" (ACL 2022).

Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation

[AAAI2019] AutoSense Model for Word Sense Induction

Repository containing code for the paper "Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation", published at Findings of EMNLP.

Watasense: an Unsupervised WSD System for Under-Resourced Languages.

Code and experiments for the COLING2020 paper "Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations".

NAACL'2021: Non-Parametric Few-Shot Learning for Word Sense Disambiguation

Distribution of word meanings in Wikipedia for English, Italian, French, German and Spanish.