Sentiment Classification using Word Sense Disambiguation
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Updated
Apr 5, 2022 - OpenEdge ABL
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
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
A pipeline for transliteration, spell correction, POS tagging and word sense disambiguation of Hinglish code mixed data to Hindi Devanagari script.
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).
[AAAI2019] AutoSense Model for Word Sense Induction
Code and experiments for the COLING2020 paper "Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations".
Watasense: an Unsupervised WSD System for Under-Resourced Languages.
Repository containing code for the paper "Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation", published at Findings of EMNLP.
NAACL'2021: Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Distribution of word meanings in Wikipedia for English, Italian, French, German and Spanish.
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