Make your Linux/macOS/BSD/illumos machine visible in Network view of Windows Explorer
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Updated
May 29, 2024 - C++
Make your Linux/macOS/BSD/illumos machine visible in Network view of Windows Explorer
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
A project to apply Abbott’s heuristics to natural language software engineering scenarios using NLP.
A pipeline for transliteration, spell correction, POS tagging and word sense disambiguation of Hinglish code mixed data to Hindi Devanagari script.
Repo for the paper "MWE as WSD: Solving Multi-Word Expression Identification with Word Sense Disambiguation"
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.
Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings
Supervised end-to-end neural architecture that learns how to disambiguate words inside a text.
Почему мои эмоджи выглядят по-разному в разных браузерах? Что делать, если дизайнеры говорят, что все смайлики должны выглядеть, как на Айфоне? Решаем проблему, попутно разбираясь в спецификациях Emoji и Unicode.
Sense Tagged Instances For Finnish
Scrape data, nltk and nlp tasks for Bahasa Melayu. Tasks including Word Sense Disambiguation (Kata Banyak Makna).
WSD for Word-in-Context (WiC) disambiguation, experimenting with BERT feature-based and fine-tuning approaches (GlossBERT)
Morpho-semantic Components (MSC) for Word Sense Induction and Disambiguation (WSI\WSD)
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