Popular GitHub Repositories for Nlp Datasets

curated collection of papers for the nlp practitioner ????

chinese NLP corpus of chinese science fiction,chinese science fiction corpus : About 4675 Chinese science fiction novels 大约有4675本科幻小说，中文科幻小说自然语言处理语料库，中文科幻小说文本语料库，中文科幻小说文本数据库，科幻小说语料

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

? Repository for "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agent", ACL'24 Best Resource Paper.

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

Implementation of Very Deep Convolutional Neural Network for Text Classification

A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

Yorùbá language training text for NLP, ASR and TTS tasks

Implementation of the semi-structured inference model in our ACL 2020 paper, INFOTABS: Inference on Tables as Semi-structured Data.

NERO-nlp is a PyPI package for biomedical Named Entity (Recognition) Ontology

Chatbot for E-Commerce Related Questions

Official github repository: Battle of the Wordsmiths: Comparing ChatGPT, GPT-4, Claude, and Bard (dataset)

This repository contains the official code for the paper : Realistic Data Augmentation Framework for Enhancing Tabular Reasoning (Findings-EMNLP, 2022).

Open-Domain Dialogue model which produces empathetic responses when trained on the EmpatheticDialogues dataset.

? Leaderboard Repository for "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agent", ACL2024

ML model that recognizes how much the text is related to data of a particular topic which the model is trained with. Modular structure of the code makes it easier to understand and modify it. Here, the model classify the text if it is crime related or not..

Creating Word Embeddings using Keras

In today's digital age, misinformation spreads rapidly, significantly impacting public perception and decision-making. This project employs word embeddings using spaCy to effectively distinguish between fake and real news, enhancing the accuracy of information verification and contributing to the fight against misinformation. ???

Sentiment Analysis on Product Reviews ( Project Associated with Zummit Infolabs ).