wsd

A Web Service Discovery host daemon.

A crowd sourced collection of interview questions asked in Bangladeshi Tech companies

Python Implementations of Word Sense Disambiguation (WSD) Technologies.

Making sense embedding out of word embeddings using graph-based word sense induction

Sentiment Classification using Word Sense Disambiguation

Japanese Natural Langauge Processing Libraries

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

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

Make your macOS/Linux/BSD/illumos/HaikuOS machine visible in the Network view of Windows Explorer

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

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

Web Services for Devices (WSD) tools and utilities for cross platform support

Code and CoarseWSD-20 datasets for "Language Models and Word Sense Disambiguation: An Overview and Analysis"

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

repository for practice *nix terminal (Ubuntu prefer)

Code to train and test Word Sense Disambiguation models based on different pretrained transformers.

Word sense disambiguation using neural models, replicating https://research.google.com/pubs/pub45729.html?authuser=0

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

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.

Exploiting the global WordNet graph to perform WSD