Work

Information retrieval using robust natural language processing

Year: 1992

Type: conference-paper

Abstract: We developed a fully automated Information Retrieval System which uses advanced natural language processing techniques to enhance the effectiveness of traditional key-word based document retrieval. In early experiments with the standard CACM-3204 collection of abstracts, the augmented system has displayed capabilities that made it clearly superior to the purely statistical base system.

Source: DARPA Workshop on Speech and Natural Language (HLT)

DOI: 10.3115/1075527.1075573

Author: Tomek Strzalkowski

Institution: New York University

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institute of Standards and Technology, Office of Naval Research

Award: G8876996369