1 code implementation • 21 Oct 2022 • Beatrice Portelli, Simone Scaboro, Enrico Santus, Hooman Sedghamiz, Emmanuele Chersoni, Giuseppe Serra
Medical term normalization consists in mapping a piece of text to a large number of output classes.
1 code implementation • Findings (EMNLP) 2021 • Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad Ghassemi
This paper introduces SupCL-Seq, which extends the supervised contrastive learning from computer vision to the optimization of sequence representations in NLP.
1 code implementation • Findings (EMNLP) 2021 • Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad Ghassemi, Emmanuele Chersoni
Adverse Events (AE) are harmful events resulting from the use of medical products.