Paper: Invited Talk: Generic NLP Technologies: Language Knowledge And Information Extraction

ACL ID P00-1002
Title Invited Talk: Generic NLP Technologies: Language Knowledge And Information Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2000
Authors
  • Jun'ichi Tsujii (University of Tokyo, Tokyo Japan; University of Manchester, Manchester UK)

While similar attempts treat feature structure processing separately from that of de#0Cnite clause programs, the LiLFeS abstract machine increases processing speed by seamlessly processing feature structures and de#0Cnite clause programs. Diverse systems, such as large scale English and Japanese grammar, a statistical disambiguation module for the Japanese parser, a robust parser for English, etc. , have already been developed in the LiLFeS system. We compared the performance of the system with other systems, in particular with LKB developed by CSLI, Stanford University,by using the same grammar #28LinGo also provided by Stanford University#29. A parsing system in the LiLFeS system, which adopts a naive CKY algorithm without any sophistication, shows similar performance as that of LKB whic...