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LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
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LivingNER corpus: Named entity recognition, normalization & classification of species, pathogens and food ...
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DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
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DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases ...
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Some Contributions to Interactive Machine Translation and to the Applications of Machine Translation for Historical Documents
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Extraction and normalization of simple and structured entities in medical documents ; Extraction et normalisation d'entités simples et structurées dans les documents médicaux
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In: https://hal.archives-ouvertes.fr/tel-03624928 ; Document and Text Processing. Sorbonne Université, 2021. English (2021)
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Language Processing in Digital Editions of Russian 18 th Century Texts ; Лингвистическая обработка цифровых изданий русских текстов XVIII века
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In: Corpora 2021 International Conference ; https://halshs.archives-ouvertes.fr/halshs-03285725 ; Corpora 2021 International Conference, Saint-Petersburg State University, Jul 2021, Saint-Petersbourg, Russia ; https://events.spbu.ru/events/corpora-2021 (2021)
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Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
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The Problem of Spelling Norms Compliance with the Positional Alternation of "у" and "в" in Modern Scientific Articles of Technical Profile ...
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The Problem of Spelling Norms Compliance with the Positional Alternation of "у" and "в" in Modern Scientific Articles of Technical Profile ...
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Anàlisi de l'emissió de sèries d'animació japoneses als mitjans de comunicació catalans
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Palabras tejidas: método y uso de un tesauro multilingüe de la seda ; Woven words: methodology and use of a silk multilingual thesaurus
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Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation
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In: Computer Science Faculty Articles (2021)
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Abstract:
Background: Clinical terms mentioned in clinical text are often not in their standardized forms as listed in clinical terminologies because of linguistic and stylistic variations. However, many automated downstream applications require clinical terms mapped to their corresponding concepts in clinical terminologies, thus necessitating the task of clinical term normalization. Objective: In this paper, a system for clinical term normalization is presented that utilizes edit patterns to convert clinical terms into their normalized forms. Methods: The edit patterns are automatically learned from the Unified Medical Language System (UMLS) Metathesaurus as well as from the given training data. The edit patterns are generalized sequences of edits that are derived from edit distance computations. The edit patterns are both character based as well as word based and are learned separately for different semantic types. In addition to these edit patterns, the system also normalizes clinical terms through the subconcepts mentioned within them. Results: The system was evaluated as part of the 2019 n2c2 Track 3 shared task of clinical term normalization. It obtained 80.79% accuracy on the standard test data. This paper includes ablation studies to evaluate the contributions of different components of the system. A challenging part of the task was disambiguation when a clinical term could be normalized to multiple concepts. Conclusions: The learned edit patterns led the system to perform well on the normalization task. Given that the system is based on patterns, it is human interpretable and is also capable of giving insights about common variations of clinical terms mentioned in clinical text that are different from their standardized forms.
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Keyword:
clinical term normalization; Computer Sciences; edit distance; machine learning; natural language processing
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URL: https://dc.uwm.edu/cgi/viewcontent.cgi?article=1001&context=comsci_facart
https://dc.uwm.edu/comsci_facart/1
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Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
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Journaling about progress and errors
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In: Proceedings of the Linguistic Society of America; Vol 6, No 2 (2021): PLSA Special Issue – Scholarly Teaching in the Age of COVID and Beyond; 5100 ; 2473-8689 (2021)
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Normalisation of 16th and 17th century texts in French and geographical named entity recognition
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In: 4th ACM SIGSPATIAL International Workshop on Geospatial Humanities ; ACM SIGSPATIAL GeoHumanities'20 ; https://hal-upec-upem.archives-ouvertes.fr/hal-02955867 ; ACM SIGSPATIAL GeoHumanities'20, ACM, Nov 2020, Seattle (virtual), United States. pp.28-34, ⟨10.1145/3423337.3429437⟩ ; https://ludovicmoncla.github.io/sigspatial-geohumanities-2020/ (2020)
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The Delta F method of vocal tract length normalization for vowels
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In: LABORATORY PHONOLOGY, vol 11, iss 1 (2020)
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