Skip to main content

Universal Conceptual Cognitive Annotation

Project description

Universal Conceptual Cognitive Annotation

UCCA is a linguistic framework for semantic annotation, whose details are available at the following paper:

@inproceedings{abend2013universal,
  author={Abend, Omri  and  Rappoport, Ari},
  title={{U}niversal {C}onceptual {C}ognitive {A}nnotation ({UCCA})},
  booktitle={Proc. of ACL},
  month={August},
  year={2013},
  pages={228--238},
  url={http://aclweb.org/anthology/P13-1023}
}

This Python 3 package provides an API to the UCCA annotation and tools to manipulate and process it. Its main features are conversion between different representations of UCCA annotations, and rich objects for all of the linguistic relations which appear in the theoretical framework (see core, layer0, layer1 and convert modules under the ucca package).

The scripts package contains various utilities for processing passage files.

To parse text to UCCA graphs, use TUPA, the UCCA parser.

Authors

License

This package is licensed under the GPLv3 or later license.

            [ ~ Dependencies scanned by PyUp.io ~ ]

Build Status (Travis CI) Build Status (AppVeyor) Build Status (Docs) PyPI version

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

UCCA-1.3.11.tar.gz (119.5 kB view hashes)

Uploaded Source

Built Distribution

UCCA-1.3.11-py3-none-any.whl (170.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page