Papers by Harsha Vardhan Simhadri
Word2Sense: Sparse Interpretable Word Embeddings (P19-1)
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| Challenge: | Word2Sense embeddings are interpretable, but they are sparse and fast to compute . a unitary rotation can be applied to many of these embeddables retaining their utility for computational tasks while changing the values of individual coordinates. |
| Approach: | They propose an unsupervised method to generate Word2Sense word embeddings that are interpretable. |
| Outcome: | The proposed method compares well with other unsupervised word embeddings on NLP tasks. |