Papers with Brown clustering
Accelerated High-Quality Mutual-Information Based Word Clustering (2020.lrec-1)
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| Challenge: | Word clustering is a hard hierarchical clustering that uses short-range distributional information to construct clusters. |
| Approach: | They propose to use a hierarchical clustering algorithm with a fixed-width beam to build clusters that outperform other word representations. |
| Outcome: | The proposed method outperforms the original methods in the computation of hierarchical and flat clusters. |
Offensive Language Detection Using Brown Clustering (2020.lrec-1)
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| Challenge: | a recent study shows that Brown clustering is of little use when distinguishing word polarity in sentiment analysis tasks. |
| Approach: | They investigate the use of Brown clustering for offensive language detection . they train Brown clusters separately on positive and negative sentiment data, then combine it into a single complex feature per word . |
| Outcome: | The proposed method improves offensive language detection when used as the only feature or with words or character n-grams. |