multiNLI | establish baselines for the MultiNLI corpus | Natural Language Processing library

by nyu-mll Python Version: Current License: MIT

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

kandi X-RAY | multiNLI Summary

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

This is the code we used to establish baselines for the MultiNLI corpus introduced in A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

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Support

multiNLI has a low active ecosystem.

It has 196 star(s) with 63 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 3 have been closed. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of multiNLI is current.

Quality

multiNLI has 0 bugs and 0 code smells.

Security

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

multiNLI code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

multiNLI 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

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

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

Train the model
Restore the model
Calculate minibatch
Convert sentences to padded index sequences
Tokenize string
Load model parameters
Classify a list of examples
Load an embedding file
Load nli data from file
Load nli data
Build word indices from training datasets

Get all kandi verified functions for this library.

multiNLI Key Features

No Key Features are available at this moment for multiNLI.

multiNLI Examples and Code Snippets

No Code Snippets are available at this moment for multiNLI.

Community Discussions

Trending Discussions on multiNLI

How to get a binary parse in Python

QUESTION

How to get a binary parse in Python

Asked 2018-Jun-08 at 19:07

I have data from natural language inference corpora (SNLI, multiNLI) that comes in this form:

...

ANSWER

Answered 2017-Jun-26 at 00:30

Any tree can be converted to a binary tree that preserves its constituents. Here's a simple solution that works on nltk.Tree input:

Source https://stackoverflow.com/questions/44742809

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

Vulnerabilities

No vulnerabilities reported

Install multiNLI

You can download it from GitHub.
You can use multiNLI 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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