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        <title>Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts</title>
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    <abstract>In this short position paper, we highlight the importance of numbers in clinical text. We first present a taxonomy of number variants. We then perform corpus analysis to analyze characteristics of number use in several clinical corpora. Based on our findings of extensive use of numbers, and limited understanding of the impact of numbers on clinical NLP tasks, we identify the need for a public benchmark that will support investigation of numerical processing tasks for the clinical domain.</abstract>
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%0 Conference Proceedings
%T Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts
%A Mahendra, Rahmad
%A Spina, Damiano
%A Cavedon, Lawrence
%A Verspoor, Karin
%Y Demner-Fushman, Dina
%Y Ananiadou, Sophia
%Y Miwa, Makoto
%Y Roberts, Kirk
%Y Tsujii, Junichi
%S Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F mahendra-etal-2024-numbers
%X In this short position paper, we highlight the importance of numbers in clinical text. We first present a taxonomy of number variants. We then perform corpus analysis to analyze characteristics of number use in several clinical corpora. Based on our findings of extensive use of numbers, and limited understanding of the impact of numbers on clinical NLP tasks, we identify the need for a public benchmark that will support investigation of numerical processing tasks for the clinical domain.
%U https://aclanthology.org/2024.bionlp-1.32
%P 409-415

Markdown (Informal)

[Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts](https://aclanthology.org/2024.bionlp-1.32) (Mahendra et al., BioNLP-WS 2024)

• Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts (Mahendra et al., BioNLP-WS 2024)

ACL

• Rahmad Mahendra, Damiano Spina, Lawrence Cavedon, and Karin Verspoor. 2024. Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts. In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, pages 409–415, Bangkok, Thailand. Association for Computational Linguistics.