brown_coref_implicit | Experimental code for Rutherford and Xue

by attapol Python Version: Current License: No License

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kandi X-RAY | brown_coref_implicit Summary

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

#Experimental code for Implicit Discourse Relation Classifier The code that replicates results from. Attapol T. Rutherford, Nianwen Xue (2014). Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014).

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Support

brown_coref_implicit has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

brown_coref_implicit has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of brown_coref_implicit is current.

Quality

brown_coref_implicit has no bugs reported.

Security

brown_coref_implicit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

brown_coref_implicit does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

brown_coref_implicit releases are not available. You will need to build from source code and install.

brown_coref_implicit has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed brown_coref_implicit and discovered the below as its top functions. This is intended to give you an instant insight into brown_coref_implicit implemented functionality, and help decide if they suit your requirements.

Get a list of paths from source to target node
Return the node corresponding to the given node_position
Get path from source to target node
Run multiple threads
Merge data files
Return a list of relation sense tags at a given level
Return the relation sense tags
Generate the production rules for a node
Return a set of all the productions in the parse tree
Returns a list of feature expressions
Check if a token contains timex
Returns a time expression list
Get timex list from token indices
Create a dependency graph from a dict
Construct a Node from a dictionary
Convert obj to JSON
Return a list of indiv production rules
Prune features in the given file
Convert a number to two character string
Gets the first three 3 elements of the sentence
Return a list of attribute attributions
Write two files
Slice a list
Returns the path to the head verb for the given node
Generate tense features
Create a single single singleton sequence data file

Get all kandi verified functions for this library.

brown_coref_implicit Key Features

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brown_coref_implicit 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 brown_coref_implicit

You can download it from GitHub.
You can use brown_coref_implicit 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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