coreference-resolution | clean PyTorch reimplementation | Natural Language Processing library

 by   shayneobrien Perl Version: Current License: No License

kandi X-RAY | coreference-resolution Summary

kandi X-RAY | coreference-resolution Summary

coreference-resolution is a Perl library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch applications. coreference-resolution has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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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              coreference-resolution has a low active ecosystem.
              It has 149 star(s) with 55 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 14 open issues and 5 have been closed. On average issues are closed in 19 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of coreference-resolution is current.

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              coreference-resolution has no bugs reported.

            kandi-Security Security

              coreference-resolution has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              coreference-resolution does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              coreference-resolution releases are not available. You will need to build from source code and install.

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            coreference-resolution Key Features

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            Community Discussions

            QUESTION

            Getting character positions in outputs of stanfordNLP in coreference resolution
            Asked 2019-Aug-02 at 06:29

            I'm trying to use the stanfordNLP for coreference resolution as it is explained here. I'm running the code of above (provided here):

            ...

            ANSWER

            Answered 2019-Aug-02 at 06:29

            Try 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

            Source https://stackoverflow.com/questions/57320524

            QUESTION

            Beautiful Soup findAll() doesn't find the first one
            Asked 2018-Jun-10 at 15:58

            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 15:58

            You 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

            Source https://stackoverflow.com/questions/50785385

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install coreference-resolution

            You can download it from GitHub.

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