BiLSTM-Debias | joint RNN model , which jointly models clean annotated data

 by   mengf1 C++ Version: Current License: No License

kandi X-RAY | BiLSTM-Debias Summary

kandi X-RAY | BiLSTM-Debias Summary

BiLSTM-Debias is a C++ library. BiLSTM-Debias has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This source code is the basis of the following paper:. Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection, CoNLL 2016.
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              BiLSTM-Debias has a low active ecosystem.
              It has 3 star(s) with 3 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              BiLSTM-Debias has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of BiLSTM-Debias is current.

            kandi-Quality Quality

              BiLSTM-Debias has no bugs reported.

            kandi-Security Security

              BiLSTM-Debias has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              BiLSTM-Debias 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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              BiLSTM-Debias releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            BiLSTM-Debias Key Features

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            BiLSTM-Debias Examples and Code Snippets

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            Community Discussions

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

            Vulnerabilities

            No vulnerabilities reported

            Install BiLSTM-Debias

            You can download it from GitHub.

            Support

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            https://github.com/mengf1/BiLSTM-Debias.git

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            gh repo clone mengf1/BiLSTM-Debias

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            git@github.com:mengf1/BiLSTM-Debias.git

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