text-summarizer | Text Summarizer implemented in PyTorch | Natural Language Processing library

by JulesBelveze Python Version: Current License: No License

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

kandi X-RAY | text-summarizer Summary

text-summarizer is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Neural Network applications. text-summarizer has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Text Summarizer implemented in PyTorch

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Support

text-summarizer has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 44 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of text-summarizer is current.

Quality

text-summarizer has no bugs reported.

Security

text-summarizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

text-summarizer 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Run the model
Convert a word to an ID
Convert a sequence of tokens to a tensor ID
Get the batch of tokens
Load all stories from a directory
Load text from file
Extract highlights from docstring
Remove punctuation from a story
Generate a set of training sets
Save data in pickle format
Parse command line arguments
Save data to a pickle file

Get all kandi verified functions for this library.

text-summarizer Key Features

No Key Features are available at this moment for text-summarizer.

text-summarizer Examples and Code Snippets

No Code Snippets are available at this moment for text-summarizer.

Community Discussions

Trending Discussions on text-summarizer

ValueError: Input 0 is incompatible with layer layer_1: expected ndim=3, found ndim=2

QUESTION

ValueError: Input 0 is incompatible with layer layer_1: expected ndim=3, found ndim=2

Asked 2018-Jan-22 at 07:10

I am trying to build text-summarizer using word Embeddings and encoder-decoder architecture. This is my first shot at Keras and I am not able to understand why layer_1 requires ndim=3. I am not able to figure this out. Below is my code:

...

ANSWER

Answered 2018-Jan-22 at 07:10

Your problem lies in these lines:

Source https://stackoverflow.com/questions/48373774

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

Vulnerabilities

No vulnerabilities reported

Install text-summarizer

In order to install the needed packages run:. However in order to be able to compute the ROUGE score you will need to install it (instructions can be found here).

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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