Papers by Bill Sethares
Domain Adapted Word Embeddings for Improved Sentiment Classification (P18-2)
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| Challenge: | Generic word embeddings are trained on large-scale generic corpora, while domain specific ones are trained only on data from a domain of interest. |
| Approach: | They propose a method to combine breadth of generic and specific embeddings to form domain-specific embeddables. |
| Outcome: | The proposed method outperforms generic and domain specific embeddings on sentiment classification tasks. |