Automatically assigned DDC number: 00574

Manually assigned DDC number: 02504

Title: Representing Information Need with Semantic Relations

Author:

Subject: Anil S. Chakravarthy Representing Information Need with Semantic Relations

Description: Information retrieval systems can be made more effective by providing more expressive query languages for users to specify their information need. This paper argues that this can be achieved through the use of semantic relations as query primitives, and describes a new technique for extracting semantic relations from an online dictionary. In contrast to existing research, this technique involves the composition of basic semantic relations, a process akin to constrained spreading activation in semantic networks. The proposed technique is evaluated in the context of extracting semantic relations that are relevant for retrieval from a corpus of pictures. 1 Introduction In recent years, there has been considerable interest in applying techniques from computational linguistics to improve various aspects of information retrieval (IR) [1]. This paper describes new techniques for extracting semantic knowledge from online linguistic resources in order to provide better methods of expressing IR...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1995-01-04

Pubyear: 1993

Format: ps

Identifier: http://citeseer.ist.psu.edu/140489.html

Source: ftp://ftp.media.mit.edu/pub/anil/coling-paper.ps.Z

Language: en

Relation:

Relation:

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Rights: unrestricted

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