Paper: Classifying Biological Full-Text Articles For Multi-Database Curation

ACL ID E06-2019
Title Classifying Biological Full-Text Articles For Multi-Database Curation
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session System Demonstration
Year 2006
Authors

The paper describes a natural language based expert system route advisor for the public bus transport in Trondheim, Norway. The system is available on the Internet,and has been intstalled at the bus company's web server since the beginning of 1999. The system is bilingual, relying on an internal language independent logic representation. In between the question and the answer is a process of lexical analysis, syntax analysis, semantic analysis, pragmatic reasoning and database query processing. One could argue that the information content could be solved by an interrogation, whereby the customer is asked to produce 4 items: s t a t i o n of departure, station of arrival, earliest departure timeand/or latest arrival time.