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 …
Abstract Background Natural Language Processing (NLP) has been shown effective to analyze the content of radiology reports and identify diagnosis or patient characteristics. We …
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 …
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 …
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 …
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 …
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 …
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 …
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 …