A multilingual open-text semantically annotated interlinked corpus
Annotated Sentence Processing Library
An out-of-the-box, corpus-agnostic query expansion tool for lexical retrieval systems.
Annotated Sentence Processing Library
A pipeline for transliteration, spell correction, POS tagging and word sense disambiguation of Hinglish code mixed data to Hindi Devanagari script.
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
Annotated Sentence Processing Library
AnnotatedSentence Processing Library
Repo for the paper "MWE as WSD: Solving Multi-Word Expression Identification with Word Sense Disambiguation"
Implemented a dictionary-based Word Sense Disambiguation(WSD) system that disambiguates the sense by comparing the definitions of the target word to the definitions of relevant words in the context. (Simple Lesk and Corpus Lesk)
Management of lexicographic resources with the aim of builing a sense inventory. Collab with the ELEXIS project through ILC-CNR for my Bachelor Thesis in Digital Humanities. The Sense Inventory has been published as a resource in the Home Repository of ILC4CLARIN ⬇️
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.
Word Sense Induction with BERT MLM
Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings
The repository contains the implementation of four baseline models for Word Sense Disambiguation, including Lesk, Naive Bayes, K-Nearest Neighbors, and BiLSTM. Additionally, a BERT-based model has been included for comparison. The models have been trained on the SemCor dataset and evaluated on the Senseval and SemEval datasets
Sense Tagged Instances For Finnish
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