SystemT: An Algebraic Approach to Declarative Information Extraction

As information extraction (IE) becomes more central to enterprise applications, rule-based IE engines have become increasingly important. In this paper, we describe SystemT, a rule-based IE system whose basic design removes the expressivity and performance limitations of current systems based on cascading grammars. SystemT uses a declarative rule language, AQL, and an optimizer that generates high-performance algebraic execution plans for AQL rules. We compare SystemT's approach against cascading grammars, both theoretically and with a thorough experimental evaluation. Our results show that SystemT can deliver result quality comparable to the state-of-theart and an order of magnitude higher annotation throughput.

• Type: Journal
• Year: 2010
• Where: ACL
• Authors: Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan
• Keywords: ACL 2010, Computational Linguistics, Declarative Rule Language, Rule-based Ie, Rule-based Ie Engines