KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records

Artuur Leeuwenberg, Marie-Francine Moens


Abstract
In this paper, we describe the system of the KULeuven-LIIR submission for Clinical TempEval 2017. We participated in all six subtasks, using a combination of Support Vector Machines (SVM) for event and temporal expression detection, and a structured perceptron for extracting temporal relations. Moreover, we present and analyze the results from our submissions, and verify the effectiveness of several system components. Our system performed above average for all subtasks in both phases.
Anthology ID:
S17-2181
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1030–1034
Language:
URL:
https://www.aclweb.org/anthology/S17-2181
DOI:
10.18653/v1/S17-2181
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2181.pdf