Academic Journal
Lexical Normalization of User-Generated Medical Forum Data
| العنوان: | Lexical Normalization of User-Generated Medical Forum Data |
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| المؤلفون: | Dirkson, A.R., Verberne, S., Kraaij, W. |
| المساهمون: | Weissenbacher D., Gonzalez-Hernandez G. |
| المصدر: | Proceedings of the Fourth Social Media Mining for Health Applications (SMM4H) Workshop & Shared Task |
| سنة النشر: | 2019 |
| المجموعة: | Leiden Repository (Leiden University) |
| الوصف: | In the medical domain, user-generated social media text is increasingly used as a valuable complementary knowledge source to scientific medical literature. The extraction of this knowledge is complicated by colloquial language use and misspellings. Yet, lexical normalization of such data has not been addressed properly. This paper presents an unsupervised, data-driven spelling correction module for medical social media. Our method outperforms state-of-the-art spelling correction and can detect mistakes with an F0.5 of 0.888. Additionally, we present a novel corpus for spelling mistake detection and correction on a medical patient forum. ; Algorithms and the Foundations of Software technology |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://www.aclweb.org/anthology/W19-3202; lucris-id: 110558890; https://hdl.handle.net/1887/80813 |
| DOI: | 10.18653/v1/W19-3202 |
| الاتاحة: | https://hdl.handle.net/1887/80813 https://www.aclweb.org/anthology/W19-3202 https://doi.org/10.18653/v1/W19-3202 |
| رقم الانضمام: | edsbas.E7FA95BC |
| قاعدة البيانات: | BASE |
| DOI: | 10.18653/v1/W19-3202 |
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