TY - GEN
T1 - Defining and learning refined temporal relations in the clinical narrative
AU - Lin, Chen
AU - Wright-Bettner, Kristin
AU - Miller, Timothy
AU - Bethard, Steven
AU - Dligach, Dmitriy
AU - Palmer, Martha
AU - Martin, James H.
AU - Savova, Guergana
N1 - Publisher Copyright:
© 2020 Association for Computational Linguistics
PY - 2020
Y1 - 2020
N2 - We present refinements over existing temporal relation annotations in the Electronic Medical Record clinical narrative. We refined the THYME corpus annotations to more faithfully represent nuanced temporality and nuanced temporal-coreferential relations. The main contributions are in re-defining CONTAINS and OVERLAP relations into CONTAINS, CONTAINS-SUBEVENT, OVERLAP and NOTED-ON. We demonstrate that these refinements lead to substantial gains in learnability for state-of-the-art transformer models as compared to previously reported results on the original THYME corpus. We thus establish a baseline for the automatic extraction of these refined temporal relations. Although our study is done on clinical narrative, we believe it addresses far-reaching challenges that are corpus- and domain- agnostic.
AB - We present refinements over existing temporal relation annotations in the Electronic Medical Record clinical narrative. We refined the THYME corpus annotations to more faithfully represent nuanced temporality and nuanced temporal-coreferential relations. The main contributions are in re-defining CONTAINS and OVERLAP relations into CONTAINS, CONTAINS-SUBEVENT, OVERLAP and NOTED-ON. We demonstrate that these refinements lead to substantial gains in learnability for state-of-the-art transformer models as compared to previously reported results on the original THYME corpus. We thus establish a baseline for the automatic extraction of these refined temporal relations. Although our study is done on clinical narrative, we believe it addresses far-reaching challenges that are corpus- and domain- agnostic.
UR - http://www.scopus.com/inward/record.url?scp=85107881963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107881963&partnerID=8YFLogxK
U2 - 10.18653/v1/2020.louhi-1.12
DO - 10.18653/v1/2020.louhi-1.12
M3 - Conference contribution
AN - SCOPUS:85107881963
T3 - EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop
SP - 104
EP - 114
BT - EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop
PB - Association for Computational Linguistics (ACL)
T2 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, co-located with EMNLP 2020
Y2 - 20 November 2020
ER -