ner-lstm | Named Entity Recognition | Machine Learning library

by monikkinom Python Version: Current License: No License

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

kandi X-RAY | ner-lstm Summary

ner-lstm is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Neural Network applications. ner-lstm has no bugs, it has no vulnerabilities and it has low support. However ner-lstm build file is not available. You can download it from GitHub.

This Repository contains the code which implements the approach described in the following Arxiv Preprint: which is published in ICON-16 conference (

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Quality

Security

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Support

ner-lstm has a low active ecosystem.

It has 538 star(s) with 180 fork(s). There are 41 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 23 have been closed. On average issues are closed in 68 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ner-lstm is current.

Quality

ner-lstm has no bugs reported.

Security

ner-lstm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ner-lstm 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

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

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

Compute the evaluation vectors
Process embedding
Convert a tag into a 1 - hot - hot array
Calculate POS tag
Find the maximum length of a file
Return the capital of a word
Train the model
Compute the F1 precision recall
Get test_a data
Get test b data
Get training data
Modify the data size of a temporary file
Removes docstrings from an input file

Get all kandi verified functions for this library.

ner-lstm Key Features

No Key Features are available at this moment for ner-lstm.

ner-lstm Examples and Code Snippets

No Code Snippets are available at this moment for ner-lstm.

Community Discussions

Trending Discussions on ner-lstm

sequence tagging task in tensorflow using bidirectional lstm

QUESTION

sequence tagging task in tensorflow using bidirectional lstm

Asked 2018-Apr-23 at 12:29

I am little interested in sequence tagging for NER. I follow the code "https://github.com/monikkinom/ner-lstm/blob/master/model.py" to make my model like below:

...

ANSWER

Answered 2018-Apr-23 at 12:29

Please check the dimensions of the tensors y_true, output(both the places), logits and prediction and check whether it comes as per your expectation.

Source https://stackoverflow.com/questions/49969484

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

Vulnerabilities

No vulnerabilities reported

Install ner-lstm

You can download it from GitHub.
You can use ner-lstm 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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