coreference-resolution | clean PyTorch reimplementation | Natural Language Processing library
kandi X-RAY | coreference-resolution Summary
kandi X-RAY | coreference-resolution Summary
PyTorch 0.4.1 | Python 3.6.5. This repository consists of an efficient, annotated PyTorch reimplementation of the EMNLP paper "End-to-end Neural Coreference Resolution" by Lee et al., 2017. Main code can be found in this file.
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QUESTION
ANSWER
Answered 2019-Aug-02 at 06:29Try adding output_format='json'
when you build the client. The JSON data should have the character offset info of each token.
There is info here about using the client:
https://stanfordnlp.github.io/stanfordnlp/corenlp_client.html
QUESTION
I'm working on a coreference-resolution system based on Neural Networks for my Bachelor's Thesis, and i have a problem when i read the corpus.
The corpus is already preproccesed, and i only need to read it to do my stuff. I use Beautiful Soup 4 to read the xml files of each document that contains the data i need.
the files look like this:
...ANSWER
Answered 2018-Jun-10 at 15:58You are parsing XML with html5lib. It is not supported for parsing XML.
lxml’s XML parser ... The only currently supported XML parser
https://www.crummy.com/software/BeautifulSoup/bs4/doc/#installing-a-parser
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