A central question in online human sentence comprehension is, "How are linguistic relations established between different parts of a sentence?" Previous work has shown that this dependency resolution process can be computationally expensive, but the underlying reasons for this are still unclear. This article argues that dependency…

The future of information resources management requires new approaches to implementing systems which will include a type of data base management that frees users to solve data processing problems logically by telling the system what they want, together with powerful non-procedural languages that will permit communication in simple, concise…

Examines recent trends in research in natural language processing and discusses some applications of this research to the solution of information management problems. The article emphasizes that the importance of natural language processing systems is reflected in their frequent use in support of other computer programs. (71 references) (CK)

Unlike conventional information retrieval systems, natural language processing (NLP) systems translate queries automatically into the language of the system. This paper discusses the potential impact of NLP on both the indexing and retrieval of text and examines some current NLP projects and systems that have established knowledge bases in narrow…

A model is proposed for the general abstracting process (using disciplines such as linguistics, logic, and psychology) that is based on a system of combined strategies with four stages: reading-understanding; selection; interpretation; synthesis. (Author/JKP)

Compares artificial intelligence and information retrieval paradigms for natural language understanding, reviews progress to date, and outlines the applicability of artificial intelligence to question answering systems. A list of principal artificial intelligence software for database front end systems is appended. (CLB)

Presents an algorithm for use in natural language document retrieval systems which automatically determines if the conjunction "and" in a statement representing an information need should be translated into a Boolean "and" or "or." The results of an experiment that used the algorithm are reported, and further research is suggested. (CLB)