Paper: Preemptive Information Extraction Using Unrestricted Relation Discovery

ACL ID N06-1039
Title Preemptive Information Extraction Using Unrestricted Relation Discovery
Venue Human Language Technologies
Session Main Conference
Year 2006
Authors

We are trying to extend the boundary of Information Extraction (IE) systems. Ex- isting 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 in- tervention. We propose a technique called Unrestricted Relation Discovery that dis- covers all possible relations from texts and presents them as tables. We present a pre- liminary system that obtains reasonably good results. 1 Background Every day, a large number of news articles are cre- ated and reported, many of which are unique. But certain types of events, such as hurricanes or mur- ders, are reported again and again throughout a year. The goal of Information Extraction, or IE, is to re- trieve a c...