Papers by Yuqiang Han

2 papers
DialMed: A Dataset for Dialogue-based Medication Recommendation (2022.coling-1)

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Challenge: Existing studies on medication recommendation mainly rely on EHRs, but some details of interactions between doctors and patients may be ignored or omitted in EHR.
Approach: They propose to use medical dialogues to recommend medications with medical dialogue data . they propose to model dialogue structure and disease knowledge aware network .
Outcome: The proposed method is a promising solution to recommend medications with medical dialogues.
Deep Reinforcement Learning for Entity Alignment (2022.findings-acl)

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Challenge: Entity alignment (EA) methods identify the aligned entities based on cosine similarity, ignoring the semantics underlying the embeddings themselves.
Approach: They propose to model entity alignment as a sequential decision-making task where an agent sequentially decides whether two entities are matched or mismatched based on representation vectors.
Outcome: The proposed framework consistently advances the performance of several state-of-the-art methods, with a maximum improvement of 31.1% on Hits@1.

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