This paper describes an effort to annotate entities, events, and relations in multilingual news stories. We iteratively refined a flat and shallow ontology to achieve fast and consistent annotations that capture more of the essence of news stories than previous work. Initial results obtained by training automatic extractors with the annotated data are promising. We present these results and discuss the challenges we faced.
By: Judith G. Hochberg, Nanda Kambhatla, Salim Roukos
Published in: RC23128 in 2004
LIMITED DISTRIBUTION NOTICE:
This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.
Questions about this service can be mailed to reports@us.ibm.com .