Jun 5, 2015 · We propose methods that transform word vectors into sparse (and optionally binary) vectors. The resulting representations are more similar to ...

2015. Sparse Overcomplete Word Vector Representations. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th ...

Sparse, overcomplete representations have been motivated in other domains as a way to in- crease separability and interpretability, with each instance (here, a ...

This work proposes methods that transform word vectors into sparse (and optionally binary) vectors, which are more similar to the interpretable features ...

This tool implements sparse coding for converting dense word vector representations to highly sparse vectors.

We propose methods that transform word vectors into sparse (and optionally binary) vectors. The resulting representations are more similar to the interpretable ...

Jul 19, 2017 · In this paper, we propose a new, principled sparse representation method that learns sparse overcomplete word representations directly from the ...

Aug 21, 2015 · This one is about an attempt to bridge a gap between two modes of analysis in computational linguistics. In a word vector analysis (also ...

In this work, we propose a new algorithm for determining multilingual sparse word representations in which words with similar meaning across different languages ...

Clearly, the embeddings generated by. SPINE are significantly more interpretable than both the GloVe and word2vec embeddings, and the Sparse Overcomplete. Word ...