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In this paper we outline a research program for computational linguistics, making extensive use of text corpora. We demonstrate how a semantic framework for lexical knowledge can suggest richer relationships among words in text beyond that of simple co-occurrence. The work suggests how linguistic phenomena such as metonymy and polysemy might be exploitable(More)
We present a new linguistic approach to the construction of terminological feedback for use in interactive query refinement. The method exploits the tendency for key domain concepts within result sets to participate in families of semantically related lexical compounds. We outline an algorithm for computing a ranked list of result set " themes " and(More)
This paper explores exploiting the synergy between document clustering and phrasal analysis for the purpose of automatically constructing a corrrex~-busedretrieval system. A contex~ consists of two components-a cluster of logically related articles (its exrension) and a small set of salient concepts, represented by words and phrases and organized by the(More)
This paper describes the design of a direct manipulation user interface for Boolean information retrieval. Intended to overcome the difficulties of manipulating explicit Boolean queries as well as the “black box” drawbacks of so-called natural language query systems, the interface presents a two-dimensional graphical representation of a user's(More)
The inevitable proliferation of expert systems underscores the need for robust, friendly interfaces requiring minimal user training. The objective of the XCALIBUR project is to meet this need by providing natural comprehension and generation in the context of a focused mixed-initiative dialog. The XCALIBUR architecture is discussed, including its three(More)
AI-STARS is a lexicon-assisted full-text Information Retrieval system, designed for use in a dynamic corporate environment. In this paper, we explore how the requirements of such an environment have influenced many key aspects of the design and implementation of the AI-STARS system. We promote the use of " views " to create logical partitions in large,(More)