Papers by Giuseppe Serra

2 papers
Generalizing over Long Tail Concepts for Medical Term Normalization (2022.emnlp-main)

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Challenge: Medical term normalization is a task of mapping a text to a large number of output classes.
Approach: They propose a learning strategy that leverages hierarchical information to enhance generalizability of models.
Outcome: The proposed strategy produces state-of-the-art performance on seen concepts and consistent improvements on unseen ones, allowing efficient zero-shot knowledge transfer across text typologies and datasets.
BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection (2021.eacl-main)

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Challenge: Pretrained transformer-based models are a common choice for identifying drug events from social media texts.
Approach: They propose to compare transformer-based models with in-domain language pretraining to find out which one is better at ADE detection.
Outcome: The proposed models outperform SpanBERT and PubMedBERT on two benchmarks.

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