https://github.com/brannondorsey/runway-glove
A Runway model for experimenting with GloVe vector embeddings
https://github.com/brannondorsey/runway-glove
Last synced: 8 months ago
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A Runway model for experimenting with GloVe vector embeddings
- Host: GitHub
- URL: https://github.com/brannondorsey/runway-glove
- Owner: brannondorsey
- License: mit
- Created: 2019-05-29T16:35:48.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2022-06-21T22:03:53.000Z (over 3 years ago)
- Last Synced: 2025-01-12T05:44:14.283Z (9 months ago)
- Language: Python
- Size: 25.4 KB
- Stars: 2
- Watchers: 4
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Runway GloVe Model
This repository contains a Runway model for experimenting with [Stanford NLP's GloVe](https://nlp.stanford.edu/projects/glove/), an unsupervised learning algorithm for obtaining vector representations for words. Similar to Word2Vec, GloVe creates a continuous N-dimensional representation of a word that is learned from its surrounding context words in a training corpus. Trained on a large corpus of text, these co-occurance statistics (an N-dimensional vector embedding) cause semantically similar words to appear near each-other in their resulting N-dimensional embedding space (e.g. "dog" and "cat" may appear nearby a region of other pet related words in the embedding space because the context words that surround both "dog" and "cat" in the training corpus are similar).
## License and Attribution
This repo is a hard-fork of the [brannondorsey/GloVe-experiments](https://github.com/brannondorsey) repo with Runway-specific code changes and optimizations using FAISS.
All code is released under an [MIT license](LICENSE). You are free to copy, edit, share, or sell it under those terms.
### GloVe citation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. [GloVe: Global Vectors for Word Representation](https://nlp.stanford.edu/pubs/glove.pdf).
```
@inproceedings{pennington2014glove,
author = {Jeffrey Pennington and Richard Socher and Christopher D. Manning},
booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
title = {GloVe: Global Vectors for Word Representation},
year = {2014},
pages = {1532--1543},
url = {http://www.aclweb.org/anthology/D14-1162},
}
```