Introduction¶
CKIP CoreNLP Toolkit¶
Features¶
Sentence Segmentation
Word Segmentation
Part-of-Speech Tagging
Named-Entity Recognition
Constituency Parsing
Coreference Resolution
Online Demo¶
Installation¶
Requirements¶
Python 3.6+
TreeLib 1.5+
CkipTagger 0.2.1+ [Optional, Recommended]
CkipClassic 1.0+ [Optional, Recommended]
TensorFlow / TensorFlow-GPU 1.13.1+ [Required by CkipTagger]
Driver Requirements¶
Driver |
Built-in |
CkipTagger |
CkipClassic |
---|---|---|---|
Sentence Segmentation |
✔ |
||
Word Segmentation† |
✔ |
✔ |
|
Part-of-Speech Tagging† |
✔ |
✔ |
|
Constituency Parsing |
✔ |
||
Named-Entity Recognition |
✔ |
||
Coreference Resolution‡ |
✔ |
✔ |
✔ |
† These drivers require only one of either backends.
‡ Coreference implementation does not require any backend, but requires results from word segmentation, part-of-speech tagging, constituency parsing, and named-entity recognition.
Installation via Pip¶
No backend (not recommended):
pip install ckipnlp
.With CkipTagger backend (recommended):
pip install ckipnlp[tagger]
orpip install ckipnlp[tagger-gpu]
.With CkipClassic Parser Client backend (recommended):
pip install ckipnlp[classic]
.With CkipClassic offline backend: Please refer https://ckip-classic.readthedocs.io/en/latest/main/readme.html#installation for CkipClassic installation guide.
Attention
To use CkipClassic Parser Client backend, please
Register an account at http://parser.iis.sinica.edu.tw/v1/reg.exe
Set the environment variables
$CKIPPARSER_USERNAME
and$CKIPPARSER_PASSWORD
to the username and password.
Detail¶
See https://ckipnlp.readthedocs.io/ for API details.