Applying natural language processing for mining and intelligent information access to tweets
(a form of microblog) is a challenging, emerging research area. Unlike carefully authored …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

There has been an increasing amount of research on biomedical named entity recognition,
the most basic text extraction problem, resulting in significant progress by different research …

Adverse reactions to drugs are among the most common causes of death in industrialized
nations. Expensive clinical trials are not sufficient to uncover all of the adverse reactions a …

Templates are effective tools for increasing the precision of natural language requirements
and for avoiding ambiguities that may arise from the use of unrestricted natural language …

Background The text descriptions in electronic medical records are a rich source of
information. We have developed a Health Information Text Extraction (HITEx) tool and used …

Occupational fraud is a $652 billion problem to which disgruntled employees are a major
contributor. Much security research addresses reducing fraud opportunity and increasing …

Transformation-based learning has been successfully employed to solve many natural
language processing problems. It achieves state-of-the-art performance on many natural …

GATE User Guide Page 1 Developing Language Processing Components with GATE Version
8 (a User Guide) For GATE version 8.0 (built May 11, 2014) Hamish Cunningham Diana …

Using semantic technologies for mining and intelligent information access to microblogs is a
challenging, emerging research area. Unlike carefully authored news text and other longer …