KULeuven-LIIR at SemEval-2017 Task 12: cross-domain temporal information extraction from clinical records
A Leeuwenberg, MF Moens - Proceedings of the 11th International …, 2017 - aclanthology.org
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017•aclanthology.org
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.
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.
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.
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