Word sense disambiguation using neural models, replicating https://research.google.com/pubs/pub45729.html?authuser=0
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Updated
Apr 26, 2018 - Python
Word sense disambiguation using neural models, replicating https://research.google.com/pubs/pub45729.html?authuser=0
NLP related problem statements & solutions like NER, WSD & Word Correction according to domain
Neural Word Sense Disambiguation, replicating "Neural Sequence Learning Models for Word Sense Disambiguation", Alessandro Raganato, Claudio Delli Bovi and Roberto Navigli, EMNLP 2017
Evaluation (and some implementations/adaptations) of WSD systems for Finnish
Making sense embedding out of word embeddings using graph-based word sense induction
Word sense disambiguation project that uses a wikipedia dump and discovers relationship with a graph. Cooked with python microservices, neo4j, elasticsearch
A Word Sense Disambiguation system integrating implicit and explicit external knowledge.
Exploiting the global WordNet graph to perform WSD
Code to train and test Word Sense Disambiguation models based on different pretrained transformers.
knowledge-based word sense disambiguation using hierarchical code representation learning.
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