coref-rl | Rewarding Coreference Resolvers

 by   rahular Python Version: Current License: No License

kandi X-RAY | coref-rl Summary

kandi X-RAY | coref-rl Summary

coref-rl is a Python library. coref-rl has no bugs, it has no vulnerabilities and it has low support. However coref-rl build file is not available. You can download it from GitHub.

Rewarding Coreference Resolvers for Being Consistent with World Knowledge
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            kandi-support Support

              coref-rl has a low active ecosystem.
              It has 6 star(s) with 1 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              coref-rl has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of coref-rl is current.

            kandi-Quality Quality

              coref-rl has no bugs reported.

            kandi-Security Security

              coref-rl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

            kandi-Reuse Reuse

              coref-rl releases are not available. You will need to build from source code and install.
              coref-rl has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed coref-rl and discovered the below as its top functions. This is intended to give you an instant insight into coref-rl implemented functionality, and help decide if they suit your requirements.
            • Calculate predictions and loss
            • Gather scores from source and target top
            • Calculate coarse - pruning
            • Create a CNN
            • Evaluate the validation function
            • Create an iterator for the examples
            • Resolves the predictedents from the topology
            • Sample the predictedantents from the given scores
            • Prune triples
            • Confirm two entities
            • Evaluate the prediction
            • Evaluate the given gold file against the given prediction
            • Loads the model
            • Combine two models
            • Generate predictions for the given text
            • Average models
            • Create a negative batch
            • Extracts the wikidump as a text file
            • Build an elmo layer
            • Start the enqueue thread
            • Extract all triples from a given corpus
            • Create JSON from csv_path
            • Cleans the list of documents
            • Cache a dataset
            • Get statistics for a given metric
            • Get an iterator over the training data
            • Convert a file to a dictionary
            Get all kandi verified functions for this library.

            coref-rl Key Features

            No Key Features are available at this moment for coref-rl.

            coref-rl Examples and Code Snippets

            No Code Snippets are available at this moment for coref-rl.

            Community Discussions

            No Community Discussions are available at this moment for coref-rl.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install coref-rl

            You can download it from GitHub.
            You can use coref-rl like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/rahular/coref-rl.git

          • CLI

            gh repo clone rahular/coref-rl

          • sshUrl

            git@github.com:rahular/coref-rl.git

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