NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation.
Journal
Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017, Vancouver, Canada, August 3-4, 2017
Pages
1010-1013
Date Issued
2017
Author(s)
Abstract
This study proposes a system to automatically analyze clinical temporal events in a fine-grained level in SemEval-2017. Support vector machine (SVM) and conditional random field (CRF) were implemented in our system for different subtasks, including detecting clinical relevant events and time expression, determining their attributes, and identifying their relations with each other within the document. Domain adaptation was the main challenge this year. Unified Medical Language System was consulted to generalize events specific to each domain. The results showed our system's capability of domain adaptation.
Type
conference paper