Emily Tsai

3 papers · 2020–2022 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

Venues

ACL (1) EMNLP (1) NAACL (1)

Top co-authors

Curtis Langlotz (3) Yuhao Zhang (2) Yasuhide Miura (1) Derek Merck (1) Pierre Chambon (1) Jean-Benoit Delbrouck (1) Christopher D. Manning (1) Omar Almusa (1) Dan Jurafsky (1) Christian Bluethgen (1)

Research topics

Artificial Intelligence (2) Reinforcement Learning (2) Methods (2) Healthcare & Medicine (1) Machine Learning (1) Natural Language Processing (1) Application Areas (1) Clinical (1) Core AI (1) Generation (1) Learning Paradigms (1) Learning Types (1)

Keywords

reinforcement learning (2) natural language generation (2) radiology report (2) factual correctness (2) factual consistency (1) named entity recognition (1) reward function (1) chest x-ray (1) neural abstractive summarization (1) radiology report generation (1) clinical information extraction (1) semantic reward (1) reward signal (1) domain adaptation (1) medical imaging (1) information extraction (1)

Papers

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards EMNLP 2022 Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021 Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL 2020