Papers by Haotong Sun

2 papers
Event Detection as Graph Parsing (2021.findings-acl)

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Challenge: Existing approaches to event detection focus on using syntactic dependency structures or external knowledge to boost the performance.
Approach: They propose a graph parsing problem that explicitly models multiple event correlations and utilizes rich information conveyed by event type and subtype.
Outcome: The proposed model outperforms existing models on the public ACE2005 dataset by 4.2% on the dataset.
Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval (2025.findings-emnlp)

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Challenge: Recent studies reveal query out-of-distribution issues degrading ANN performance . a distribution regularizer is introduced into the encoder training objective to encourage alignment between query and base embeddings.
Approach: They introduce a distribution regularizer into the encoder training objective to encourage alignment between query and base embeddings.
Outcome: The proposed method consistently improves retrieval performance across multiple datasets.

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