by Jayetri Bardhan Introduction Electronic Health Records (EHRs) are digitized records of patients’ medical information containing details about their demographics, diagnoses, medication, symptoms, laboratory results, and immunization records. EHRs help doctors in making better clinical decisions and aid patients to obtain answers to patient-specific questions.  EHRs may be in the form of structured or unstructured

[Source: News from The Herbert Wertheim College of Engineering] In today’s increasingly connected world, the sheer volume of messages we receive on any subject, including speech, images, video and metadata, as well as text imbedded in images and videos, is mind-boggling. When something unexpected happens, government policy analysts need to inform and advise our nation’s

Introduction In order to keep up with the enormous pace of data being produced on the web, we need automatic methods for converting it into a more structured form for analyzing and querying. For text data this amounts to generating labels which describe the underlying semantic concept and is known as Information Extraction (IE). Examples

Miguel Rodriguez The amount of information available on the web has motivated a number of efforts in creating large-scale knowledge bases (KBs), each with their own methods of automatically extracting relevant information from unstructured text. Despite sharing the same data model, each project is unique, displaying their own strengths and weaknesses related to the size