Papers by Joao Bettencourt-silva
Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms (2022.emnlp-industry)
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| Challenge: | Existing methods to extract semantic associations from medical literature do not take into account the semantics of sentences from which entity co-occurrences are extracted. |
| Approach: | They propose a system for the automatic discovery of semantic associations between different entities such as diseases and their symptoms using a semantic network and a binary relation classification model trained with distant supervision. |
| Outcome: | The proposed system validates the extracted associations against a publicly available list of disease-symptom pairs against 14M PubMed abstracts. |