Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Datasets, SOTA results of every fields of Chinese NLP

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Deep-Learning Model Exploration and Development for NLP

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

Given a pair of questions on Quora, the NLP task aims to classify whether two given questions are duplicates or not. The underlying idea is to identify whether the pair of questions have the same intent though they might have been structured differently .

Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing

Text summarization tool that uses PyTorch abstractive models to summarize raw text, image, and pdf inputs.

Examples of Natural Language Processing. Created at the Univeristy as the project within Natural Language Processing classes in 2015. The purpose of those examples was to get to know NLP techniques and using them in sample tasks like for example QA or polish surname variations app.

Repository to track the state of the art research progress in Bengali natural language processing for most common task

A repository to store Transformers and Transfer Learning related scripts

NLP tasks repo