Pretrained-Embedding-ToolKit

Toolkit for processing pretrained-embeddings.

Currently support:

• 'FastText'
• 'Glove'
• 'KazumaChar'
• 'SL999'

FastTextEmbedding

GloveEmbedding

KazumaCharEmbedding

sl999-Embedding

These are 300 dimensional Paragram embeddings tuned on the SimLex999 dataet. They achieve human-level performance on both SimLex999 and WS353 datasets.

Paragram-SL999 300 dimensional Paragram embeddings tuned on SimLex999 dataset. 1.7 GB download:

https://drive.google.com/file/d/0B9w48e1rj-MOLVdZRzFfTlNsem8/view?usp=sharing

If you use this embedding for your work please cite:

@article{wieting2015ppdb, title={From Paraphrase Database to Compositional Paraphrase Model and Back}, author={John Wieting and Mohit Bansal and Kevin Gimpel and Karen Livescu and Dan Roth}, journal={Transactions of the ACL (TACL)}, year={2015} }

More details on the construction of the embeddings can be found in the arxiv version: http://arxiv.org/abs/1506.03487