MedSTS: A Resource for Clinical Semantic Textual Similarity

4 code implementations • 28 Aug 2018 • Yanshan Wang, Naveed Afzal, Sunyang Fu, Li-Wei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu

A subset of MedSTS (MedSTS_ann) containing 1, 068 sentence pairs was annotated by two medical experts with semantic similarity scores of 0-5 (low to high similarity).

Decision Making Semantic Similarity +3

A Comparison of Word Embeddings for the Biomedical Natural Language Processing

2 code implementations • 1 Feb 2018 • Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Li-Wei Wang, Feichen Shen, Paul Kingsbury, Hongfang Liu

First, the word embeddings trained on clinical notes and biomedical publications can capture the semantics of medical terms better, and find more relevant similar medical terms, and are closer to human experts' judgments, compared to these trained on Wikipedia and news.

Information Retrieval

UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing

no code implementations • SEMEVAL 2013 • Majid Rastegar-Mojarad, Richard D. Boyce, Rashmi Prasad