Title :
A friendly merger of conceptual expectations and linguistic analysis in a text processing system
Author :
Jacobs, Paul S. ; Rau, Lisa F.
Author_Institution :
General Electric Corp. Res. & Dev., Schenectady, NY, USA
Abstract :
The SCISOR system is a computer program designed to scan naturally occurring texts in constrained domains, extract information, and answer questions about that information. The system currently reads newspaper stories in the domain of corporate mergers and acquisitions. The language analysis strategy used by SCISOR combines full syntactic (bottom-up) parsing and conceptual expectation-driven (top-down) parsing. Four knowledge sources, including syntactic and semantic information and domain knowledge, interact in a flexible manner. This integration produces a more robust semantic analyzer designed to deal gracefully with gaps in lexical and syntactic knowledge, transports easily to domains, and facilitates the extraction of information from texts
Keywords :
expert systems; linguistics; natural languages; SCISOR; expert systems; knowledge sources; linguistic analysis; natural language interfaces; newspaper stories; parsing; semantic analyzer; text processing system; Artificial intelligence; Corporate acquisitions; Data mining; Information analysis; Information retrieval; Jacobian matrices; Natural languages; Research and development; Robustness; Text processing;
Conference_Titel :
Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-0837-4
DOI :
10.1109/CAIA.1988.196130