semvec/pypi-packages huggingface dataset:
elit 2.0.0a10
The Emory Language and Information Toolkit (ELIT)
License: Apache License 2.0
Requires Python: >=3.7
Keywords: corpus,machine-learning,NLU,NLP

# ELIT

The Emory Language and Information Toolkit (ELIT) provides the state-of-the-art NLP models for the following tasks:

* [Tokenization](docs/tokenization.md)
* [Part-of-Speech Tagging](docs/part_of_speech_tagging.md)
* [Named Entity Recognition](docs/named_entity_recognition.md)
* [Constituency Parsing](docs/constituency_parsing.md)
* [Dependency Parsing](docs/dependency_parsing.md)
* [Semantic Role Labeling](docs/semantic_role_labeling.md)
* [AMR Parsing](docs/abstract_meaning_parsing.md)
* Coreference Resolution
* Emotion Detection

This is an open-source project led by the [Emory NLP](http://nlp.cs.emory.edu/) Research Laboratory and released under the [Apache License 2.0](LICENSE).

* The latest release: [2.0](https://pypi.org/project/elit/)
* Contact: [Jinho D. Choi](http://www.cs.emory.edu/~choi)

## Resources

* [Getting Started](docs/getting_started.md)
* [Data Format](docs/data_format.md)