An overview of the possibilities of using TARS models for low language resources
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Updated
Apr 28, 2023 - Jupyter Notebook
An overview of the possibilities of using TARS models for low language resources
My code and research while exploring NLP fake news detection under an internship.
A StackExchange flair react component
codes for: "Applications of social-media mining in examining the social concerns of orphans during the early stages of the COVID-19 pandemic."
This repository contains my scripts, results and visualization for my bachelor thesis "Medical concept PROBLEM: Polarity, Modality and Temporal Relations" - ON GOING, doing some code reorganize
A multi-lingual named entity classifier to perform named entity recognition (NER) on two datasets, International: CoNLL 2003, Chinese: Weibo. We used the current state-of-the-art model to test on CoNLL++ dataset, achieved a F1-score of 94.3% with pooled-embeddings.
embeddings language models
pretrained transformer and embeddings language models
A deep learning approach for detecting sarcasm in Headlines
📑Semantic content similarity search experiment on heartfulness.org mission literature dataset. Developed using pytorch and azure machine learning service.
FewClick-TrainAndHost is a platform to auto train a text classification model and later convert it to a flask based web-app in just few clicks.
NLP related concepts, challenges and datasets
Use of State of the Art FLAIR library for the NLP datasets
ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus
Large Scale benchmarking of state of the art text vectorizers
Container-first, JSON-configurable, NLP REST service based on Flair
Text2Emoji helps you add necessary emojis to your text by analysing the emotion behind the writing.
📜 Dehyphenation of broken text (mainly German), i.e., extracted from a PDF
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