Difference between revisions of "Natural Language Tools & Services"
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* [[Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | * [[Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | ||
| + | * [[Natural Language Services]] | ||
* [http://en.wikipedia.org/wiki/Outline_of_natural_language_processing#Natural_language_processing_tools NLP Tools | Wikipedia] | * [http://en.wikipedia.org/wiki/Outline_of_natural_language_processing#Natural_language_processing_tools NLP Tools | Wikipedia] | ||
* [http://nlp.stanford.edu/links/statnlp.html Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources | Stanford] | * [http://nlp.stanford.edu/links/statnlp.html Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources | Stanford] | ||
Revision as of 11:57, 9 November 2018
- Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- Natural Language Services
- NLP Tools | Wikipedia
- Statistical natural language processing and corpus-based computational linguistics: An annotated list of resources | Stanford
- Natural Language Toolkit (NLTK)
- H2O Driveless AI
- NaturalNode Node.js
- SpaCy Python Library
- Matlab
- Thematically Discover
- Software Packages | Cognitive Computation Group, led by Prof. Dan Roth
- LSTM and QRNN Language Model Toolkit for PyTorch | GitHub
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM | gitHub
