cs224d | Deep Learning for NLP | Machine Learning library

by jordn HTML Version: Current License: No License

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

kandi X-RAY | cs224d Summary

cs224d is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. cs224d has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Deep Learning for NLP

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Quality

Security

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Support

cs224d has a low active ecosystem.

It has 11 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cs224d is current.

Quality

cs224d has no bugs reported.

Security

cs224d has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cs224d 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

cs224d releases are not available. You will need to build from source code and install.

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cs224d Key Features

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cs224d Examples and Code Snippets

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Community Discussions

Trending Discussions on cs224d

What are the details of Sequence-to-sequence model for text summarization?

QUESTION

What are the details of Sequence-to-sequence model for text summarization?

Asked 2020-Jan-11 at 09:39

It is clear how to train encoder-decoder model for translation: each source sequence has its corresponding target sequence (translation). But in case of text summarization abstract is much shorter than its article. According to Urvashi Khandelwal, Neural Text Summarization each source sentence has its abstract (shorter or longer). But I hardly beleive there is any such dataset exists where each sentence has its corresponding abstract. So, if i am right, what are the possible ways to train sunch model? Otherwise are there any free datasets for text summarization?

...

ANSWER

Answered 2017-Apr-19 at 19:19

You're right that there are very few large datasets that were created specifically to be used for training text summarization models. People tend to use other existing data and find ways to turn it into a summarization problem. You can read other text summarization papers to see what they do.

Source https://stackoverflow.com/questions/43479120

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

Vulnerabilities

No vulnerabilities reported

Install cs224d

You can download it from GitHub.

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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