Papers by Larry An

3 papers
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines (D19-1)

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Challenge: Using dialog agents, we can collect family history data from in-person consultations and crowdsource it to a genetic counselor.
Approach: They propose to use natural language interactions annotated with medical family histories to collect information from a genetic counselor and crowdsourcing.
Outcome: The proposed system averages 0.87 on complex sentences on the targeted relations.
Empathy Identification Systems are not Accurately Accounting for Context (2023.eacl-main)

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Challenge: Empathy is a fundamental phenomenon that allows us to better communicate and relate with others.
Approach: They propose a simple model that checks if an input utterance is similar to a small set of empathetic examples, but does not consider dialogue context.
Outcome: The proposed model outperforms state-of-the-art models on benchmarks and empathetic rationale extraction benchmarks.
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health (2021.findings-emnlp)

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Challenge: Existing statistical models are not explainable, struggle in low-resource scenarios and cannot be reused for multiple tasks.
Approach: They propose a micromodel architecture that embeds domain knowledge and provides explanations throughout the model’s decision process.
Outcome: The proposed model is validated on depression classification, PTSD classification, and suicidal risk assessment tasks.

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