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
Incorporating Dictionary Knowledge into Neural Word Sense Disambiguation(ACL 2018)
Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings
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 Induction with BERT MLM
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
[AAAI2019] AutoSense Model for Word Sense Induction
A system for unsupervised knowledge-free interpretable word sense disambiguation based on distributional semantics
Repository containing code for the paper "Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation", published at Findings of EMNLP.
Chapter 5: Embeddings
Tools for Evaluation of Unsupervised Word Sense Disambiguation Systems
A multi-labeling model for knowledge integration into Word Sense Disambiguation (EACL 2021).
Annotated Sentence Processing Library
A project to tackle the task of Word Sense Disambiguation using BERT based models on the WiC-TSV dataset
FaceDetection, ScalingPictures, WordSenseDisambiguation
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams (ECML-PKDD 2020)
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