Mention detection, normalization & classification of species, pathogens, humans and food in clinical documents: Overview of the LivingNER shared task and resources
A Miranda-Escalada, E Farré-Maduell… - … del Lenguaje Natural, 2022 - journal.sepln.org
There is a pressing need to generate tools for finding mentions of species, pathogens, or
food from medical texts. To promote the development of such tools we organized the …
food from medical texts. To promote the development of such tools we organized the …
[HTML][HTML] Adopting machine translation in the healthcare sector: A methodological multi-criteria review
M Zappatore, G Ruggieri - Computer Speech & Language, 2024 - Elsevier
Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …
[PDF][PDF] Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results.
There is an increasing interest in exploiting the content of electronic health records by
means of natural language processing and text-mining technologies, as they can result in …
means of natural language processing and text-mining technologies, as they can result in …
Medical word embeddings for Spanish: Development and evaluation
Word embeddings are representations of words in a dense vector space. Although they are
not recent phenomena in Natural Language Processing (NLP), they have gained …
not recent phenomena in Natural Language Processing (NLP), they have gained …
[HTML][HTML] Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning
Clinical text and documents contain very rich information and knowledge in healthcare, and
their processing using state-of-the-art language technology becomes very important for …
their processing using state-of-the-art language technology becomes very important for …
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain
Motivation The field of natural language processing (NLP) has recently seen a large change
toward using pre-trained language models for solving almost any task. Despite showing …
toward using pre-trained language models for solving almost any task. Despite showing …
Investigating massive multilingual pre-trained machine translation models for clinical domain via transfer learning
Massively multilingual pre-trained language models (MMPLMs) are developed in recent
years demonstrating superpowers and the pre-knowledge they acquire for downstream …
years demonstrating superpowers and the pre-knowledge they acquire for downstream …
ParaMed: a parallel corpus for English–Chinese translation in the biomedical domain
Background Biomedical language translation requires multi-lingual fluency as well as
relevant domain knowledge. Such requirements make it challenging to train qualified …
relevant domain knowledge. Such requirements make it challenging to train qualified …
[PDF][PDF] Extracting Neoplasms Morphology Mentions in Spanish Clinical Cases through Word Embeddings.
P López-Úbeda, MC Díaz-Galiano… - IberLEF …, 2020 - ceur-ws.org
Biomedicine is an ideal environment for the use of Natural Language Processing (NLP), due
to the huge amount of information processed and stored in electronic format. This …
to the huge amount of information processed and stored in electronic format. This …
Findings of the wmt 2018 biomedical translation shared task: Evaluation on medline test sets
Abstract Machine translation enables the automatic translation of textual documents
between languages and can facilitate access to information only available in a given …
between languages and can facilitate access to information only available in a given …