There are 1 repository under word-sense-disambiguation topic.
Sentiment Classification using Word Sense Disambiguation
Japanese Natural Langauge Processing Libraries
Incorporating Dictionary Knowledge into Neural Word Sense Disambiguation(ACL 2018)
A Word Sense Disambiguation system integrating implicit and explicit external knowledge.
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.
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
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.
Code and experiments for the COLING2020 paper "Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations".
Chapter 5: Embeddings
Tools for Evaluation of Unsupervised Word Sense Disambiguation Systems
WSD for Word-in-Context (WiC) disambiguation, experimenting with BERT feature-based and fine-tuning approaches (GlossBERT)
Exploiting the global WordNet graph to perform WSD
Russian Word Sense Induction system (for the RUSSE'18 shared task)
[π Azure Prize at TreeHacks] readAR -- π² TreeHacks 2020 Backend
This project is a text summarization system that leverages word sense disambiguation and pre-trained T5 models. It identifies and summarizes repeating words with different meanings, using spaCy for NLP and an n-gram model for candidate word selection. It compares summaries using Rouge scores and outputs the best one. Written in Python with Flask.
NLP: Word Sense Disambiguation (WSD) π on python 3 π.
A multilingual open-text semantically annotated interlinked corpus
A multi-labeling model for knowledge integration into Word Sense Disambiguation (EACL 2021).
SIR is a sense-enhanced Information Retrieval system for multiple languages (EMNLP2021).
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams (ECML-PKDD 2020)
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
Repo for the paper "MWE as WSD: Solving Multi-Word Expression Identification with Word Sense Disambiguation"