Welcome to the homepage of the GENIA project at the Tsujii laboratory of the University of Tokyo.
The GENIA project seeks to automatically extract useful information from texts written by scientists to help overcome the problems caused by information overload. We intend that while the methods are customized for application in the micro-biology domain, the basic methods should be generalisable to knowledge acquisition in other scientific and engineering domains.
We are currently working on the key task of extracting event information about protein interactions. This type of information extraction requires the joint effort of many sources of knowledge, which we are now developing. These include a parser, ontology, thesaurus and domain dictionaries as well as supervised learning models.
The pages were last updated on the 19th Aug 2003 by Yuka Tateisi.
Department of Information Science, Faculty of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113, Japan.
The GENIA project was partially supported by Grant-in-Aid for Scientific Research on Priority Areas (C) "Genome Information Science" from the Ministry of Education, Culture, Sports, Science and Technology of Japan and JST, CREST.