Paper: Information Extraction From Single And Multiple Sentences

ACL ID C04-1126
Title Information Extraction From Single And Multiple Sentences
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

Some Information Extraction (IE) systems are limited to extracting events expressed in a single sentence. It is not clear what ef- fect this has on the di–culty of the extrac- tion task. This paper addresses the prob- lem by comparing a corpus which has been annotated using two separate schemes: one which lists all events described in the text and another listing only those expressed within a single sentence. It was found that only 40.6% of the events in the flrst anno- tation scheme were fully contained in the second.