Inquery system overview
Published 1 January 1993Open access
John Broglio, James P. Callan, W. Bruce Croft
Citations57
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The TIPSTER project in the Information Retrieval Laboratory of the Computer Science Department, University of Massachusetts, Amherst (which includes MCC as a subcontractor), has focused on improving the effectiveness of information retrieval techniques for large, full-text databases.
Abstract
The TIPSTER project in the Information Retrieval Laboratory of the Computer Science Department, University of Massachusetts, Amherst (which includes MCC as a subcontractor), has focused on the following goals:• Improving the effectiveness of information retrieval techniques for large, full-text databases,• Improving the effectiveness of routing techniques appropriate for long-term information needs, and• Demonstrating the effectiveness of these retrieval and routing techniques for Japanese full text databases [5].
Keywords
Computer ScienceDecision Sciences
A stochastic parts program and noun phrase parser for unrestricted text
974 Citations1988Kenneth Church
A program that tags each word in an input sentence with the most likely part of speech has been written and performance is encouraging; a 400-word sample is presented and is judged to be 99.5% correct.
Viewing morphology as an inference process
661 Citations1993Robert Krovetz
The role of morphological analysis in word sense disambiguation, and in identifying lexical semantic relationships in a machine-readable dictionary, is described.
ACM Transactions on Information SystemsEvaluation of an inference network-based retrieval model
577 Citations1991Howard R. Turtle, W. Bruce Croft
Network representations show promise as mechanisms for inferring probable relationships between documents and queries and have been used in information retrieval since at least the early 1960s.
Database and Expert Systems ApplicationsThe INQUERY Retrieval System
526 Citations1992James P. Callan, W. Bruce Croft +1 more
A retrieval system (INQUERY) that is based on a probabilistic retrieval model and provides support for sophisticated indexing and complex query formulation is described.
The effect multiple query representations on information retrieval system performance
171 Citations1993Nicholas J. Belkin, Colleen Cool +2 more
Results show that progressive combination of query formulations leads to progressively improving retrieval performance, and the issue of recall as a performance measure in large databases was raised.
The Computer JournalA Comparison of Text Retrieval Models
138 Citations1992Howard R. Turtle, W. Bruce Croft
This paper introduces a recent form of the probabilistic model based on inference networks, and shows how the vector space and exact-match models can be described in this framework.
Relevance feedback and inference networks
122 Citations1993David Haines, W. Bruce Croft
The inference network model introduced by Turtle and Croft is extended to include relevance feedback techniques, and the difference between relevance feedback on text abstracts and full text collections is studied.
IEEE ExpertKnowledge-based and statistical approaches to text retrieval
80 Citations1993W. Bruce Croft
It is suggested that statistical techniques and knowledge-based approaches should be viewed as complementary, rather than competitive, instead of competitive.
A comparison of indexing techniques for Japanese text retrieval
76 Citations1993Hideo Fujii, W. Bruce Croft
Using structured queries, the character-based indexing performed retrieval as well as, or slightly better, than the word-based system, which has practical significance since the character's speed is considerably faster than the traditional word- based indexing.
Efficient probabilistic inference for text retrieval
73 Citations1991Howard R. Turtle, W. Bruce Croft
It is concluded that SAE can be a safe and effective treatment option for HDU patients with ASI, including high-grade splenic injury, and there was no statically significant difference in complication rate or 30-day post-SAE survival rates between HDS and HDU Patients with ASi.
Lecture notes in computer scienceSupporting full-text information retrieval with a persistent object store
32 Citations1994Eric W. Brown, James P. Callan +2 more
This work has taken an existing information retrieval system (INQUERY) and substituted a persistent object store (Mneme) for the portion of the custom data management system that manages an inverted file index, resulting in an improvement in performance and significant opportunities for the information retrieved system to take advantage of the standard data management services provided by the persistence store.
An evaluation of query processing strategies using the TIPSTER collection
27 Citations1993James P. Callan, W. Bruce Croft
This paper describes several methods of constructing queries for the INQUERY information retrieval system, and then evaluates those methods on the TIPSTER document collection.
An Approach to Incorporating CBR Concepts in IR Systems
8 Citations1993James P. Callan, W. Bruce Croft
This work outlines an approach to integration that takes advantage of the strengths of both CBR and IR, and gives a simple example of how an integrated CBR/IR system could be used to address a real information need.
Query processing for retrieval from large text bases
7 Citations1993John Broglio, W. Bruce Croft
The results measure the value of processing tailored for different query styles, use of syntactic tags to produce search phrases, recognition and application of generic concepts, and automatic concept extraction based on interword associations in a large text base.