AllenNLP is a state-of-the-art natural language processing (NLP) library, built on PyTorch, designed to support research in deep learning for NLP. It provides a flexible and easy-to-use platform for developing and evaluating NLP models, with a focus on deep learning techniques. The library includes a wide range of pre-built models and tools for tasks such as text classification, named entity recognition, semantic role labeling, and more. AllenNLP is developed by the Allen Institute for AI, with the goal of accelerating research in NLP and making it more accessible to the broader research community.
0 / day
0 / day
0 pages per visit
Domain Rating
Domain Authority
Citation Level
English, etc
A collection of state-of-the-art models for various NLP tasks, ready to use out of the box.
Designed to be highly modular and extensible, allowing researchers to easily experiment with new models and algorithms.
Extensive documentation and tutorials to help users get started and make the most of the library.
A vibrant community of researchers and developers contributing to the library and providing support.
Built on top of PyTorch, leveraging its flexibility and efficiency for deep learning.
Tools and utilities for training, evaluating, and fine-tuning models on custom datasets.
Support for reading and processing a wide range of NLP datasets in various formats.
Tools for visualizing model predictions, attention mechanisms, and other aspects of model behavior.
Access to research papers and articles that have used AllenNLP, showcasing its application in cutting-edge NLP research.
Fully open-source, encouraging collaboration and contribution from the global research community.
Apache License 2.0
https://github.com/allenai/allennlp
allennlp-contact@allenai.org
https://allennlp.org
Twitter: @allen_ai
AllenNLP welcomes contributions from the community. Guidelines for contributing can be found on the GitHub repository.
If you use AllenNLP in your research, please cite the library using the provided citation in the documentation.
Security headers report is a very important part of user data protection. Learn more about http headers for allennlp.org