Introduction In the medical field, electronic medical records contain a large amount of textual
information, and the unstructured nature of this information makes data extraction and …

Objectives: This survey aims to provide an overview of the current state of biomedical and
clinical Natural Language Processing (NLP) research and practice in Languages other than …

Diagnostic radiology is concerned with obtaining images of the internal organs using
radiological imaging procedures. These images are then interpreted by a diagnostic …

Named Entity Recognition (NER) is a foundational NLP task that aims to provide class labels
like Person, Location, Organisation, Time, and Number to words in free text. Named Entities …

Sažetak “Opinion analysis, also called opinion recognition, is a field of research that
analyses people's opinions, attitudes, evaluations, and feelings toward entities and their …

Linguistic data can—and often does—contain PII (Personal Identifiable Information). Both
from a legal and ethical standpoint, the sharing of such data is not permissible. According to …

Named Entity Recognition (NER) refers to the task of locating relevant information within text
sequences. Within the medical domain, it can benefit applications such as de-identifying …

Human beings are very natural at giving opinions. The phenomenon is so natural to humans
that its effect can be seen in written and spoken texts in a variety of formal and informal …

Healthcare in Sweden is becoming more digital and even though new technology could
enable improved healthcare it also presents risks. In this thesis, which is conducted together …

This study explores the possibilities of classifying language as governing or not. The ground
premise is to examine how detecting and quantifying governing conditions from thousands …