TAKG | official implementation of ACL 2019 paper | Natural Language Processing library

by yuewang-cuhk Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | TAKG Summary

TAKG is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. TAKG has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However TAKG build file is not available. You can download it from GitHub.

The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language" (TAKG). This is a joint work with NLP Center at Tencent AI Lab. Some scripts for drawing figures in the paper can be found here.

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Quality

Security

License

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Support

TAKG has a low active ecosystem.

It has 110 star(s) with 23 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 8 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TAKG is current.

Quality

TAKG has 0 bugs and 0 code smells.

Security

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

TAKG code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TAKG is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

TAKG 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.

TAKG saves you 1847 person hours of effort in developing the same functionality from scratch.

It has 4076 lines of code, 194 functions and 26 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train a model
Print topic words in fn
Reset the model
Evaluate the loss function
Collate one or many files
Performs padding of the input_list
Load data and vocabulary
Load vocabulary from disk
Build examples
Extend a list of source_words
Add training options
Compute the alpha at a given point
Add post prediction options
Compute the DCG of the DCG
Updates score_dict with k_list
Sets up my own options
Defines the loss function
Compute the attention function
Process data from optimizer
Add model options
Perform the forward computation
Make a Bow Dictionary from a list of sources
Add prediction options
Reads the source and target sequences
Builds the vocabulary
Collate one or more examples

Get all kandi verified functions for this library.

TAKG Key Features

No Key Features are available at this moment for TAKG.

TAKG Examples and Code Snippets

No Code Snippets are available at this moment for TAKG.

Community Discussions

Trending Discussions on TAKG

Remove numbering, newline, break tags from pandas dataframe columns

QUESTION

Remove numbering, newline, break tags from pandas dataframe columns

Asked 2020-Jul-28 at 15:50

I have a dataframe with columns containing strings with newline, break takgs and list numbering:

...

ANSWER

Answered 2020-Jul-28 at 15:35

Using Regex and str methods

Ex:

Source https://stackoverflow.com/questions/63137646

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

Vulnerabilities

No vulnerabilities reported

Install TAKG

You can download it from GitHub.
You can use TAKG 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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