Topic: wsd Goto Github
Some thing interesting about wsd
Some thing interesting about wsd
wsd,Word Sense Disambiguation using PPR & Similarity Measures
User: abduldridi
wsd,WSD for Word-in-Context (WiC) disambiguation, experimenting with BERT feature-based and fine-tuning approaches (GlossBERT)
User: andrea-gasparini
Home Page: https://github.com/sapienzanlp/nlp2021-hw3
wsd,NLP: Word Sense Disambiguation (WSD) 📚 on python 3 🐍.
User: anishlearnstocode
wsd,Data for discrimination of word senses using hypernyms
User: artreven
wsd,Polymer example of a web-component for https://wsd.events/
User: arturparkhisenko
wsd,Code and CoarseWSD-20 datasets for "Language Models and Word Sense Disambiguation: An Overview and Analysis"
User: danlou
wsd,Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings
User: danlou
wsd,
User: dashanant
Home Page: https://pypi.org/project/Get-Wordsense/
wsd,A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Organization: diagnijmegen
Home Page: https://diagnijmegen.github.io/pathology-whole-slide-data/
wsd,Public Finnish sense-annotated Wikipedia-based dataset provided as part of a master's thesis
User: einarituukkanen
wsd,Word sense disambiguation using neural models, replicating https://research.google.com/pubs/pub45729.html?authuser=0
User: emanuelegiona
wsd,Stand-alone server for word sense disambiguation
User: eugenso
Home Page: http://jobimtext.org/wsd/
wsd,Morpho-semantic Components (MSC) for Word Sense Induction and Disambiguation (WSI\WSD)
User: fabiobif
wsd,Sense Tagged Instances For Finnish
User: frankier
wsd,Make your Linux/macOS/BSD/illumos machine visible in Network view of Windows Explorer
User: gershnik
wsd,[🏆 Azure Prize at TreeHacks] readAR -- 🌲 TreeHacks 2020 Backend
User: jackyzha0
wsd,Simple profanity filter in python
User: jedirhymetrix
wsd,Japanese Natural Langauge Processing Libraries
User: kevincobain2000
Home Page: http://readthedocs.org/docs/jprocessing/en/latest/
wsd,Sentiment Classification using Word Sense Disambiguation
User: kevincobain2000
wsd,Code and data for the paper 'Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings'
User: ksipos
Home Page: https://arxiv.org/abs/2003.10224
wsd,Neural WSD with Transformers and candidate masking
User: leonardoemili
Home Page: https://neural-wsd.herokuapp.com
wsd,Sense-Annotated Corpus for Russian
Organization: llod-ru
wsd,Word sense disambiguation project that uses a wikipedia dump and discovers relationship with a graph. Cooked with python microservices, neo4j, elasticsearch
User: lupanoide
wsd,A word sense disambiguation + document semantic classifier library that mainly use Wordnet and Babelnet, made as part of my final exam for the Cognitive System course in Department of Computer Science.
User: made2591
wsd,Repo for the paper "MWE as WSD: Solving Multi-Word Expression Identification with Word Sense Disambiguation"
User: mindful
wsd,WSD and analyis for two technique namely HMM and word embedding overlap
User: piyushsinghpasi
wsd,A pipeline for transliteration, spell correction, POS tagging and word sense disambiguation of Hinglish code mixed data to Hindi Devanagari script.
User: praatibhsurana
wsd,Supervised end-to-end neural architecture that learns how to disambiguate words inside a text.
User: riccorl
wsd,Scrape data, nltk and nlp tasks for Bahasa Melayu. Tasks including Word Sense Disambiguation (Kata Banyak Makna).
User: ridzuan05
wsd,Distribution of word meanings in Wikipedia for English, Italian, French, German and Spanish.
Organization: sapienzanlp
wsd,A Word Sense Disambiguation system integrating implicit and explicit external knowledge.
Organization: sapienzanlp
wsd,Semeval-2013 and -2015 multilingual WSD datasets for BabelNet 4.0
Organization: sapienzanlp
wsd,Exploiting the global WordNet graph to perform WSD
Organization: sapienzanlp
wsd,Code to train and test Word Sense Disambiguation models based on different pretrained transformers.
Organization: sapienzanlp
wsd,Making sense embedding out of word embeddings using graph-based word sense induction
Organization: uhh-lt
Home Page: http://uhh-lt.github.io/sensegram
wsd,A system for unsupervised knowledge-free interpretable word sense disambiguation based on distributional semantics
Organization: uhh-lt
Home Page: http://jobimtext.org/wsd
wsd,NLP related problem statements & solutions like NER, WSD & Word Correction according to domain
User: vyaslkv
wsd,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.
User: whitebeard10
wsd,SLI mappings for OMSTI dataset
User: xavier-gz
Home Page: https://github.com/xavier-gz/SLI_OMSTI
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