corenlp-haskell
所属分类：自然语言处理
开发工具：Haskell
文件大小：803KB
下载次数：0
上传日期：2017-07-28 04:55:02
上 传 者：
sh-1993
说明： corenlp-haskell，斯坦福大学corenlp的基本接口
(corenlp-haskell,Basic interface to Stanford CoreNLP)
文件列表:
.travis.yml (584, 2017-07-28)
app (0, 2017-07-28)
app\Main.hs (871, 2017-07-28)
corenlp-haskell.cabal (4790, 2017-07-28)
examples (0, 2017-07-28)
examples\10_10.html.conll (50351, 2017-07-28)
examples\22641.html.conll (482564, 2017-07-28)
examples\22849.html.conll (1235820, 2017-07-28)
examples\C_2017221EN.01002101.xml.html.conll (6051, 2017-07-28)
examples\L_2008218EN.01000101.xml.html.conll (99798, 2017-07-28)
examples\L_2009168EN.01004101.xml.html.conll (115912, 2017-07-28)
examples\M_5aa8ecd2-b7d3-420d-89b6-71c77632f0df.html.conll (96138, 2017-07-28)
examples\R_d154000c-1b62-4135-85aa-1ccd3043e1cb.html.conll (119989, 2017-07-28)
examples\eur-lex.europa.eu.html.conll (200209, 2017-07-28)
examples\inputs.txt (333, 2017-07-28)
examples\inputs.txt.conll (1693, 2017-07-28)
examples\inputs.txt.conll.result (45897, 2017-07-28)
examples\inputs.txt.json (65138, 2017-07-28)
examples\inputs.txt.xml (73362, 2017-07-28)
examples\judgement.html (14379, 2017-07-28)
examples\judgement.html.conll (58229, 2017-07-28)
examples\judgement.html.json (2171445, 2017-07-28)
examples\judgement.html.xml (2514454, 2017-07-28)
examples\trying.txt.conll (104, 2017-07-28)
script (0, 2017-07-28)
script\script.sh (290, 2017-07-28)
src (0, 2017-07-28)
src\Data (0, 2017-07-28)
src\Data\CoNLL.hs (3137, 2017-07-28)
stack.yaml (228, 2017-07-28)
test (0, 2017-07-28)
test\Data (0, 2017-07-28)
test\Data\CoNLLSpec.hs (1321, 2017-07-28)
test\Main.hs (43, 2017-07-28)
trying.txt (29, 2017-07-28)
# Stanford CoreNLP output parser and API binding
This is a Haskell library for working with Stanford CoreNLP.
## Planned features
It should allow parsing of Stanford CoreNLP output from file,
and use of Stanford CoreNLP in web service mode.
The API should allow for easy access to dependency parser annotations, along with co-references,
natural logic quantifiers, and parts of speech.
## Installation
[Stanford CoreNLP](https://stanfordnlp.github.io) is easiest to install as a download.
Of course, for CI integration it is preferred to use Maven installation.
It should be possible to exercise project on [TravisCI](http://travis-ci.org).
## Output examples
[Examples](examples/) contain:
* input as either `.txt`, or `.html` file,
* output in `.conll` format similar SyntaxNet,
* output in Stanford CoreNLP native `.xml` serialization,
* output in Stanford CoreNLP web server targetted `.json` serialization.
Nice visualizations of the data available on [DisplayCy website](https://demos.explosion.ai/displacy/).
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