PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. torchnlp extends PyTorch to provide you with basic text data processing functions
Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natural language.
This is a Python wrapper for Stanford University’s NLP group’s Java-based CoreNLP tools. It can either be imported as a module or run as a JSON-RPC server.
It can be easily customized to different kinds of questions in natural language and database queries. So, with little coding you can build your own system for natural language access to your database.
This includes an original implementation of Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer. "Noisy Channel Language Model Prompting for Few-Shot Text Classification" 2021.
A library to help users choose appropriate summarization tools based on their specific tasks or needs. Includes models, evaluation metrics, and datasets.