We followed a systematic approach based on the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …

Abstract Many Big Data technologies were built to enable the processing of human
generated data, setting aside the enormous amount of data generated from Machine-to …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

The paper presents the design and implementation of the BioNLP'09 Shared Task, and
reports the final results with analysis. The shared task consists of three sub-tasks, each of …

Event extraction, a specialized stream of information extraction rooted back into the 1980s,
has greatly gained in popularity due to the advent of big data and the developments in the …

Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …

Background Biomedical knowledge bases (KB's) have become important assets in life
sciences. Prior work on KB construction has three major limitations. First, most biomedical …

Event extraction for the biomedical domain is more challenging than that in the general
news domain since it requires broader acquisition of domain-specific knowledge and …

Nested event structures are a common occurrence in both open domain and domain specific
extraction tasks, eg, a “crime” event can cause a “investigation” event, which can lead to an …

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …