NLP Embeddings Evaluation Tool
Project description
NLP Embeddings Evaluation Tool
The NLP Embeddings Evaluation Tool is a command line tool to evaluate Natural Language Processing Embeddings using custom intrinsic and extrinsic tasks.
Installation
embedeval is available as pip
package:
python -m pip install embedeval
NOTE: it might not be installable as of today using pip with PyPI.
However, installing from source will work. Use .
instead of embedeval
in the pip command.
Getting started
Run the word-analogy
Task on your Word Embedding:
embedeval embedding.vec -t word-analogy
Run the word-analogy
and word-similarity
Tasks on your Word Embedding:
embedeval embedding.vec -t word-analogy -t word-similarity
Documentation
The whole documentation of embedeval is available on Read The Docs.
Supported platforms
embedeval is supported on Windows, Mac and Linux
Contribution
Yes, we are looking for some contributors and people who spread out a word about embedeval. Help us to improve these piece of software. You don't know what to do? Just have a look at the Issues or create a new one. Please have a look at the Contributing Guidelines, too.
Project Information
embedeval is released under the MIT license, its documentation lives at Read The Docs, the code on GitHub, and the latest release on PyPI. It’s rigorously tested on Python 3.5+.
If you'd like to contribute to embedeval you're most welcome and we've written a little guide to get you started!
This project is published under MIT.
A Timo Furrer project.
- :tada: -
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