Another look at automatic text-retrieval systems
Communications of the ACM
Natural language processing: a knowledge-engineering approach
Natural language processing: a knowledge-engineering approach
Parallel free-text search on the connection machine system
Communications of the ACM - Special issue on parallelism
Knowledge organization and access in a conceptual information system
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Language analysis in not-so-limited domains
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A knowledge-based approach to language production (natural, generation)
A knowledge-based approach to language production (natural, generation)
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The System for Conceptual Information Summarization, Organization, and Retrieval (SCISOR) is a research system that consists of a set of programs to parse short newspaper texts in the domain of corporate takeovers and finance. The conceptual information extracted from these stories may then be accessed through a natural language interface. Events in the world of corporate takeovers unfold slowly over time. As a result of this, the input to SCISOR consists of multiple short articles, most of which add a new piece of information to an ongoing story. This motivates a natural language, knowledge-based approach to information retrieval, as traditional methods of document retrieval are inappropriate for retrieving multiple short articles describing events that take place over time. A natural language, knowledge-based approach facilitates obtaining both concise answers to straightforward questions and summaries or updates of the events that take place. The predictable events that take place in the domain make expectation-driven, partial parsing feasible.