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Author Huttunen, Silja ♦ Yangarber, Roman ♦ Grishman, Ralph
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Linguistic Cue ♦ Di Culty ♦ Ie Scenario ♦ Hierarchi-cal Representation ♦ Traditional Muc Scenario ♦ Event Structure ♦ Unambiguous Way ♦ New Information Extrac-tion Scenario ♦ Traditional View ♦ Atomic Unit ♦ Complex Scenario ♦ Template Design ♦ Structural Factor ♦ Inclusion Relationship
Description This paper presents new Information Extrac-tion scenarios which are linguistically and struc-turally more challenging than the traditional MUC scenarios. Traditional views on event structure and template design are not adequate for the more complex scenarios. The focus of this paper is to show the com-plexity of the scenarios, and propose a way to recover the structure of the event. First we identify two structural factors that contribute to the complexity of scenarios: the scattering of events in text, and inclusion relationships between events. These factors cause diÆculty in representing the facts in an unambiguous way. Then we propose a modular, hierarchi-cal representation where the information is split in atomic units represented by templates, and where the inclusion relationships between the units are indicated by links. Lastly, we discuss how we may recover this representation from text, with the help of linguistic cues linking the events. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01
Publisher Institution In: Proceedings of the 19th International Conference on Computational Linguistics