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A Domain Independent Environment for Creating Information Extraction Modules
 

Summary: A Domain Independent Environment for Creating Information
Extraction Modules
Ronen Feldman, Yonatan Yair Libetzon, Kfir Ankori Jonathan Schler, Benjamin
Aumann Rosenfeld
ClearForest Corporation ClearForest Corporation ClearForest Corporation
1 World Trade Center 1 World Trade Center 1 World Trade Center
NY, NY NY, NY NY, NY
212-432-1515 212-432-1515 212-432-1515
ronen@clearForest.com yair@cleafforest.com jonathan@clearforest.com
ABSTRACT
Text-Mining is a growing area of interest within the field of Data
Mining and Knowledge Discovery. Given a collection of text
documents, most approaches to Text Mining perform knowledge-
discovery operations either on external tags associated with each
document, or on the set of all words within each document. Both
approaches suffer from limitations. This paper focuses on an
intermediate approach, one that we call text mining via
information extraction, in which knowledge discovery takes place
on focused, relevant terms, phrases and facts, as extracted from
the documents.

  

Source: Aumann, Yonatan - Computer Science Department, Bar Ilan University

 

Collections: Computer Technologies and Information Sciences