Recognizing and Interpreting Tables

Mabry Tyson, Douglas Appelt, Jerry R. Hobbs,
John Bear, David Israel, and Megumi Kameyama
Artificial Intelligence Center
SRI International
333 Ravenswood Ave.
Menlo Park CA 94025, USA
tyson@ai.sri.com

Abstract:

Tables are a pervasive problem in the real-world corpora that are the focus of information extraction applications. Moreover, they constitute a problem of significant linguistic interest. In this paper we present a general method for recognizing and interpreting tables in text, and describe its implementation in a particular application.