Papers by Tyler Baldwin
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation (2022.naacl-main)
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| Challenge: | Conventional exact or approximate termbased retrieval methods lack the ability of semantic understanding of the clinical as well as language context. |
| Approach: | They combine clinical finding detection with supervised query match learning to train a model . findings are used as queries to train the Sentence-BERT model using triplet loss . |
| Outcome: | The proposed method outperforms existing methods on multiple retrieval benchmarks. |