Erasmus Mundus Master in Language
and Communication Technologies (LCT)


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Language & communication technologies

NLP for specialized domains

NLP for specialized domains

The aim of the course is to ensure that the student knows how to deal with the specificities of legal and medical texts. For that end, available tools for processing domain specific texts will be presented to the student (mostly written in Python). The course will also cover the required processes to adapt general domain NLP tools to specific domains. The existing text mining applications on these two areas will also be covered. Small projects over these types of texts written in different languages ​will be proposed to the student.

Syllabus

  1. Introduction, characteristics of texts in specialized domains, field of medicine and justice.
  2. Text annotation and representation formats, tools.
  3. Adaptation of text processing / processing tools to the domain.
  4. Text representation.
  5. Medical and legal text processing by means of knowledge-based tools, applied on corpus, under supervised or unsupervised learning.


  6. ← program Hizkuntzaren Azterketa eta Prozesamendua