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.
Cite
CITATION STYLE
Leeuwenberg, A., & Moens, M. F. (2017). KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 1030–1034). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s17-2181
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