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jiangfeng1124 / SWE

SWE Toolkit. Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. A general framework to incorporate semantic knowledge into the popular data-driven learning process of word vectors. Applications including word similarity, sentence completion, etc. ACL-2015 long paper, Beijing, China

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jiangfeng1124/Theano-Tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

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jiangfeng1124/bivec

Train bilingual embeddings as described in our NAACL 2015 workshop paper "Bilingual Word Representations with Monolingual Quality in Mind". Besides, it has all the functionalities of word2vec with added features and code clarity. See README for more info.

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