| Universal Conceptual Cognitive Annotation | |
| ============================ | |
| UCCA is a linguistic framework for semantic annotation, whose details | |
| are available at [the following paper](http://www.cs.huji.ac.il/~oabend/papers/ucca_acl.pdf): | |
| @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](http://www.cs.huji.ac.il/~danielh/tupa). | |
| Authors | |
| ------ | |
| * Amit Beka: amit.beka@gmail.com | |
| * Daniel Hershcovich: danielh@cs.huji.ac.il | |
| License | |
| ------- | |
| This package is licensed under the GPLv3 or later license. | |
| [](https://travis-ci.org/danielhers/ucca) | |
| [](https://ci.appveyor.com/project/danielh/ucca) | |
| [](http://ucca.readthedocs.io/en/latest/) | |
| [](https://badge.fury.io/py/UCCA) | |