Papers with prototype-based clustering method

1 papers
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering (2022.acl-long)

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Challenge: Existing work exploits easily accessible co-occurrence information of events to learn event representations.
Approach: They propose a weakly supervised contrastive learning method and a prototype-based clustering method for event representation learning.
Outcome: The proposed framework outperforms baselines on Hard Similarity and Transitive Sentence Similarity tasks.

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