Search Results for author: Selene Baez

Found 4 papers, 1 papers with code

Normalization of Long-tail Adverse Drug Reactions in Social Media

no code implementations EMNLP (Louhi) 2020 Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Robert-Jan Sips, Zoltan Szlanik, Selene Baez

The automatic mapping of Adverse Drug Reaction (ADR) reports from user-generated content to concepts in a controlled medical vocabulary provides valuable insights for monitoring public health.

Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts

no code implementations WS 2019 Emmanouil Manousogiannis, Sepideh Mesbah, Aless Bozzon, ro, Selene Baez, Robert Jan Sips

This paper describes the system that team MYTOMORROWS-TU DELFT developed for the 2019 Social Media Mining for Health Applications (SMM4H) Shared Task 3, for the end-to-end normalization of ADR tweet mentions to their corresponding MEDDRA codes.

Entity Linking Few-Shot Learning +1

Predicting opponent team activity in a RoboCup environment

no code implementations4 Mar 2015 Selene Baez

The table is populated with transition probabilities that are learned by reading vision packages and counting the state transitions regardless of the specific robot player.

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