Clinical natural language processing in languages other than English: opportunities and challenges

A Névéol, H Dalianis, S Velupillai, G Savova… - Journal of biomedical …, 2018 - Springer
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …

Biomedical term extraction: overview and a new methodology

JA Lossio-Ventura, C Jonquet, M Roche… - Information Retrieval …, 2016 - Springer
Terminology extraction is an essential task in domain knowledge acquisition, as well as for
information retrieval. It is also a mandatory first step aimed at building/enriching …

Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings

AD Pham, A Névéol, T Lavergne, D Yasunaga… - BMC …, 2014 - Springer
Abstract Background Natural Language Processing (NLP) has been shown effective to
analyze the content of radiology reports and identify diagnosis or patient characteristics. We …

Natural language processing in health care and biomedicine

C Friedman, N Elhadad - … : Computer Applications in Health Care and …, 2014 - Springer
After reading this chapter, you should know the answers to these questions: Why is natural
language processing important? What are the potential uses for natural language …

Natural language processing for health-related texts

D Demner-Fushman, N Elhadad… - … : Computer applications in …, 2021 - Springer
Narrative text is an important component of communication in health care, including patient-
specific information in health record reports and notes and general biomedical knowledge …

[PDF][PDF] The MeSpEN resource for English-Spanish medical machine translation and terminologies: census of parallel corpora, glossaries and term translations

M Villegas, A Intxaurrondo… - LREC MultilingualBIO …, 2018 - lrec-conf.org
Clinical and biomedical text mining research efforts have so far focused mainly on
documents written in English. These efforts benefited significantly from the availability, not …

[HTML][HTML] Reuse of termino-ontological resources and text corpora for building a multilingual domain ontology: An application to Alzheimer's disease

K Dramé, G Diallo, F Delva, JF Dartigues… - Journal of biomedical …, 2014 - Elsevier
Ontologies are useful tools for sharing and exchanging knowledge. However ontology
construction is complex and often time consuming. In this paper, we present a method for …

Word alignment in the era of deep learning: a tutorial

B Li - arXiv preprint arXiv:2212.00138, 2022 - arxiv.org
The word alignment task, despite its prominence in the era of statistical machine translation
(SMT), is niche and under-explored today. In this two-part tutorial, we argue for the …

Enriching biomedical knowledge for low-resource language through large-scale translation

L Phan, T Dang, H Tran, TH Trinh, V Phan… - arXiv preprint arXiv …, 2022 - arxiv.org
Biomedical data and benchmarks are highly valuable yet very limited in low-resource
languages other than English such as Vietnamese. In this paper, we make use of a state-of …

Evaluation of machine translation methods applied to medical terminologies

K Skianis, Y Briand, F Desgrippes - Proceedings of the 11th …, 2020 - aclanthology.org
Medical terminologies resources and standards play vital roles in clinical data exchanges,
enabling significantly the services' interoperability within healthcare national information …