Background: Real-world evidence research plays an increasingly important role in diabetes
care. However, a large fraction of real-world data are “locked” in narrative format. Natural …

Abstract CSIRO Adverse Drug Event Corpus (C adec) is a new rich annotated corpus of
medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is …

Background The large volume of medical literature makes it difficult for healthcare
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …

Construction cost estimation is a labor-intensive task that involves several processes.
Although some of these processes have been automated, construction cost estimation still …

Mechanisms are provided for performing entity differentia tion. A cognitive medical system
ingests a corpus of medical content having references to medical entities, and performs …

In this paper, we present the development of a training dataset for Dutch Named Entity
Recognition (NER) in the archaeology domain. This dataset was created as there is a dire …

Social media data such as Twitter messages (" tweets") pose a particular challenge to NLP
systems because of their short, noisy, and colloquial nature. Tasks such as Named Entity …

The rise in hateful and offensive language directed at other users is one of the adverse side
effects of the increased use of social networking platforms. This could make it difficult for …

Objectives (1) To develop an automated eligibility screening (ES) approach for clinical trials
in an urban tertiary care pediatric emergency department (ED);(2) to assess the …

We present Reddit Health Online Talk (RedHOT), a corpus of 22,000 richly annotated social
media posts from Reddit spanning 24 health conditions. Annotations include demarcations …