TY - GEN
T1 - Sebis at SemEval-2023 Task 7
T2 - 17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
AU - Vladika, Juraj
AU - Matthes, Florian
N1 - Publisher Copyright:
© 2023 Association for Computational Linguistics.
PY - 2023
Y1 - 2023
N2 - With the increasing number of clinical trial reports generated every day, it is becoming hard to keep up with novel discoveries that inform evidence-based healthcare recommendations. To help automate this process and assist medical experts, NLP solutions are being developed. This motivated the SemEval-2023 Task 7, where the goal was to develop an NLP system for two tasks: evidence retrieval and natural language inference from clinical trial data. In this paper, we describe our two developed systems. The first one is a pipeline system that models the two tasks separately, while the second one is a joint system that learns the two tasks simultaneously with a shared representation and a multi-task learning approach. The final system combines their outputs in an ensemble system. We formalize the models, present their characteristics and challenges, and provide an analysis of achieved results. Our system ranked 3rd out of 40 participants with a final submission.
AB - With the increasing number of clinical trial reports generated every day, it is becoming hard to keep up with novel discoveries that inform evidence-based healthcare recommendations. To help automate this process and assist medical experts, NLP solutions are being developed. This motivated the SemEval-2023 Task 7, where the goal was to develop an NLP system for two tasks: evidence retrieval and natural language inference from clinical trial data. In this paper, we describe our two developed systems. The first one is a pipeline system that models the two tasks separately, while the second one is a joint system that learns the two tasks simultaneously with a shared representation and a multi-task learning approach. The final system combines their outputs in an ensemble system. We formalize the models, present their characteristics and challenges, and provide an analysis of achieved results. Our system ranked 3rd out of 40 participants with a final submission.
UR - http://www.scopus.com/inward/record.url?scp=85161346132&partnerID=8YFLogxK
U2 - 10.18653/v1/2023.semeval-1.257
DO - 10.18653/v1/2023.semeval-1.257
M3 - Conference contribution
AN - SCOPUS:85161346132
T3 - 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop
SP - 1863
EP - 1870
BT - 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop
A2 - Ojha, Atul Kr.
A2 - Dogruoz, A. Seza
A2 - Da San Martino, Giovanni
A2 - Madabushi, Harish Tayyar
A2 - Kumar, Ritesh
A2 - Sartori, Elisa
PB - Association for Computational Linguistics
Y2 - 13 July 2023 through 14 July 2023
ER -