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        <title>Relative and Incomplete Time Expression Anchoring for Clinical Text</title>
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        <namePart type="given">Sumithra</namePart>
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    <abstract>Extracting and modeling temporal information in clinical text is an important element for developing timelines and disease trajectories. Time information in written text varies in preciseness and explicitness, posing challenges for NLP approaches that aim to accurately anchor temporal information on a timeline. Relative and incomplete time expressions (RI-Timexes) are expressions that require additional information for their temporal anchor to be resolved, but few studies have addressed this challenge specifically. In this study, we aimed to reproduce and verify a classification approach for identifying anchor dates and relations in clinical text, and propose a novel relation classification approach for this task.</abstract>
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%0 Conference Proceedings
%T Relative and Incomplete Time Expression Anchoring for Clinical Text
%A Dupuis, Louise
%A Bergou, Nicol
%A Tissot, Hegler
%A Velupillai, Sumithra
%Y Rumshisky, Anna
%Y Roberts, Kirk
%Y Bethard, Steven
%Y Naumann, Tristan
%S Proceedings of the 3rd Clinical Natural Language Processing Workshop
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F dupuis-etal-2020-relative
%X Extracting and modeling temporal information in clinical text is an important element for developing timelines and disease trajectories. Time information in written text varies in preciseness and explicitness, posing challenges for NLP approaches that aim to accurately anchor temporal information on a timeline. Relative and incomplete time expressions (RI-Timexes) are expressions that require additional information for their temporal anchor to be resolved, but few studies have addressed this challenge specifically. In this study, we aimed to reproduce and verify a classification approach for identifying anchor dates and relations in clinical text, and propose a novel relation classification approach for this task.
%R 10.18653/v1/2020.clinicalnlp-1.14
%U https://aclanthology.org/2020.clinicalnlp-1.14
%U https://doi.org/10.18653/v1/2020.clinicalnlp-1.14
%P 117-129

Markdown (Informal)

[Relative and Incomplete Time Expression Anchoring for Clinical Text](https://aclanthology.org/2020.clinicalnlp-1.14) (Dupuis et al., ClinicalNLP 2020)

• Relative and Incomplete Time Expression Anchoring for Clinical Text (Dupuis et al., ClinicalNLP 2020)

ACL

• Louise Dupuis, Nicol Bergou, Hegler Tissot, and Sumithra Velupillai. 2020. Relative and Incomplete Time Expression Anchoring for Clinical Text. In Proceedings of the 3rd Clinical Natural Language Processing Workshop, pages 117–129, Online. Association for Computational Linguistics.