Preemptive information extraction using unrestricted relation discovery

Authors:
Yusuke Shinyama;Satoshi Sekine
Affiliations:
New York University, Broadway, New York, NY;New York University, Broadway, New York, NY
Venue:
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Year:
2006

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Abstract

We are trying to extend the boundary of Information Extraction (IE) systems. Existing IE systems require a lot of time and human effort to tune for a new scenario. Preemptive Information Extraction is an attempt to automatically create all feasible IE systems in advance without human intervention. We propose a technique called Unrestricted Relation Discovery that discovers all possible relations from texts and presents them as tables. We present a preliminary system that obtains reasonably good results.