Papers by Krissanee Kamthawee
MIST: Mutual Information Maximization for Short Text Clustering (2024.acl-long)
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| Challenge: | Existing methods for clustering short texts are inadequate due to the limited amount of information provided by each text sample. |
| Approach: | They propose a Mutual Information Maximization Framework for Short Text Clustering which maximizes mutual information between representations on sequence and token levels. |
| Outcome: | The proposed framework outperforms the state-of-the-art method in terms of Accuracy or Normalized Mutual Information in most cases. |