Clinical natural language processing in languages other than English: opportunities and challenges
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 …
outcome has been thriving in recent years. This paper offers the first broad overview of …
An overview of biomedical entity linking throughout the years
Abstract Biomedical Entity Linking (BEL) is the task of map** of spans of text within
biomedical documents to normalized, unique identifiers within an ontology. This is an …
biomedical documents to normalized, unique identifiers within an ontology. This is an …
DrBERT: A robust pre-trained model in French for biomedical and clinical domains
In recent years, pre-trained language models (PLMs) achieve the best performance on a
wide range of natural language processing (NLP) tasks. While the first models were trained …
wide range of natural language processing (NLP) tasks. While the first models were trained …
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools
Abstract Modern Natural Language Processing (NLP) makes intensive use of deep learning
methods because of the accuracy they offer for a variety of applications. Due to the …
methods because of the accuracy they offer for a variety of applications. Due to the …
[HTML][HTML] A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse
Introduction Clinical data warehouses are often oriented toward integration and exploration
of coded data. However narrative reports are of crucial importance for translational research …
of coded data. However narrative reports are of crucial importance for translational research …
[HTML][HTML] Capturing the patient's perspective: a review of advances in natural language processing of health-related text
Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
Overview of the CLEF eHealth evaluation lab 2019
In this paper, we provide an overview of the seventh annual edition of the CLEF eHealth
evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts …
evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts …
Extracting symptoms and their status from clinical conversations
This paper describes novel models tailored for a new application, that of extracting the
symptoms mentioned in clinical conversations along with their status. Lack of any publicly …
symptoms mentioned in clinical conversations along with their status. Lack of any publicly …
MT-clinical BERT: scaling clinical information extraction with multitask learning
Objective Clinical notes contain an abundance of important, but not-readily accessible,
information about patients. Systems that automatically extract this information rely on large …
information about patients. Systems that automatically extract this information rely on large …
Overview of the CLEF eHealth evaluation lab 2015
This paper reports on the 3rd CLEFeHealth evaluation lab, which continues our evaluation
resource building activities for the medical domain. In this edition of the lab, we focus on …
resource building activities for the medical domain. In this edition of the lab, we focus on …