Medical NLP – language technology resources for clinical and biomedical documents in multiple languages

A considerable amount of medically relevant information is hidden in large unstructured heterogeneous data collections, such as the medical literature, medicinal patents, electronic health records or specialized web-content (health blogs, patient forums or information generated by scientific and medical societies).  To process more efficiently medical big data there is a growing interest in exploiting natural language processing and text mining approaches, in particularly deep learning and artificial intelligence-based strategies.

The aim of the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL), the Spanish national Plan for the Advancement of Language Technology, is to promote the development of resources of critical importance for processing textual data in Spanish as well as Catalan, Basque and Galician. The Health and biomedical domain constitute one of the flagship topics of the Spanish Plan TL.

To promote the development of health-related language technology applications, the Plan TL is both developing and identifying resources of key relevance including individual components/libraries, terminological resources, annotated corpora and annotation guidelines, as well as document collections and language models.

New upload

Want your upload to appear in this community?

  • Click the button above to upload straight to this community.
  • The community curator is notified, and will either accept or reject your upload (see community curation policy above).
  • If your upload is rejected by the curator, it will still be available on Zenodo, just not in this community.
Community



Medical NLP – language technology resources for clinical and biomedical documents in multiple languages

A considerable amount of medically relevant information is hidden in large unstructured heterogeneous data collections, such as the medical literature, medicinal patents, electronic health records or specialized web-content (health blogs, patient forums or information generated by scientific and medical societies).  To process more efficiently medical big data there is a growing interest in exploiting natural language processing and text mining approaches, in particularly deep learning and artificial intelligence-based strategies.

Read more

Curated by:
PlanTL_Sanidad
Curation policy:
Not specified
Created:
November 20, 2018
Harvesting API:
OAI-PMH Interface