ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015
An Ensemble Method for Spelling Correction in Consumer Health Questions.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Semantic classification of Indonesian consumer health questions.Journal of biomedical semantics · 2025Article
- Improving the quality of Persian clinical text with a novel spelling correction system.BMC medical informatics and decision making · 2024Article
- MLM-based typographical error correction of unstructured medical texts for named entity recognition.BMC bioinformatics · 2022Article
- Automatic classification of scanned electronic health record documents.International journal of medical informatics · 2020Article
- Automated Misspelling Detection and Correction in Persian Clinical Text.Journal of digital imaging · 2020Article
- Consumer health information and question answering: helping consumers find answers to their health-related information needs.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Spell checker for consumer language (CSpell).Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Semantic annotation of consumer health questions.BMC bioinformatics · 2018Article
- Resource and Response Type Classification for Consumer Health Question Answering.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Deep Learning from EEG Reports for Inferring Underspecified Information.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Yearbook of medical informatics · 2016Review
- Interactive use of online health resources: a comparison of consumer and professional questions.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Resource Classification for Medical Questions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
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Authors and funding
4 authors.
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Abstract
Orthographic and grammatical errors are a common feature of informal texts written by lay people. Health-related questions asked by consumers are a case in point. Automatic interpretation of consumer health questions is hampered by such errors. In this paper, we propose a method that combines techniques based on edit distance and frequency counts with a contextual similarity-based method for detecting and correcting orthographic errors, including misspellings, word breaks, and punctuation errors. We evaluate our method on a set of spell-corrected questions extracted from the NLM collection of consumer health questions. Our method achieves a F1 score of 0.61, compared to an informed baseline of 0.29, achieved using ESpell, a spelling correction system developed for biomedical queries. Our results show that orthographic similarity is most relevant in spelling error correction in consumer health questions and that frequency and contextual information are complementary to orthographic features.
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26958208PMC4765565What OpenQuestion holds
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