Abstract

This paper describes the system developed for the task of temporal information extraction from clinical narratives in the context of the 2017 Clinical TempEval challenge. Clinical TempEval 2017 addressed the problem of temporal reasoning in the clinical domain by providing annotated clinical notes, pathology and radiology reports in line with Clinical TempEval challenges 2015/16, across two different evaluation phases focusing on cross domain adaptation. Our team focused on subtasks involving extractions of temporal spans and relations for which the developed systems showed average F-score of 0.45 and 0.47 across the two phases of evaluations.

Highlights

  • Temporal information extraction has been a widely explored topic of research interest in the field of information extraction during recent years. It is essential for improving the performance of applications such as question answering, search, text classification and systems that establish timelines from clinical narratives. In this line over the years, research community challenges on clinical temporal information extraction have been organized; i.e., the 2012 Informatics for Integrating Biology and the Bedside (i2b2) challenge (Sun et al, 2013) the 2013/2014 CLEF/ShARe challenge (Mowery et al, 2014), and the 2015/16 Clinical TempEval challenge (Bethard et al, 2015, 2016)

  • In phase one, the systems were evaluated on their results for all six sub-tasks on brain cancer notes given colon cancer notes as inputs

  • In phase two, evaluation was carried out in line with phase one but a small number of annotations of brain cancer notes were given as inputs

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Summary

Introduction

Temporal information extraction has been a widely explored topic of research interest in the field of information extraction during recent years It is essential for improving the performance of applications such as question answering, search, text classification and systems that establish timelines from clinical narratives. In this line over the years, research community challenges on clinical temporal information extraction have been organized; i.e., the 2012 Informatics for Integrating Biology and the Bedside (i2b2) challenge (Sun et al, 2013) the 2013/2014 CLEF/ShARe challenge (Mowery et al, 2014), and the 2015/16 Clinical TempEval challenge (Bethard et al, 2015, 2016).

Dataset and Methods
Time span identification
Event span identification
Document time relation identification
TLINK:Contains identification
Experiments and Results
Discussion
Conclusion
Full Text
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