AN UNSUPERVISED FRAMEWORK FOR INFORMATION EXTRACTION

RONEN FELDMAN

Hebrew University in Jerusalem

I will describe a framework for relation learning and building of
domain-specific relation extraction systems (Visual Care). I will
demonstrate several applications of the framework in the domains of mining
public medical forums and financial news and blogs. The case studies
demonstrate the ability of the system to achieve high accuracy of relation
identification and extraction with minimal human supervision. I will also
describe and demonstrate the performance of VC's modifier learning
mechanism and coreference resolution.

BIO

Ronen Feldman is an Associate Professor of Information Systems at the
Business School of the Hebrew University in Jerusalem. He received his
B.Sc. in Math, Physics, and Computer Science from the Hebrew University
and his Ph.D. in Computer Science from Cornell University in NY. He is now
on sabbatical at NYU Stern Business School. He is the founder of
ClearForest Corporation, a Boston-based company specializing in
development of text mining tools and applications. He has given more than
30 tutorials on text mining and information extraction, and authored
numerous papers on these topics. He is the author of the book "The Text
Mining Handbook" published by Cambridge University Press in 2007.