SIGIR ’94

1. Natural Language Processing

   1. Word Sense Disambiguation and Information Retrieval

      • Mark Sanderson

      Pages 142-151

   2. A Full-Text Retrieval System with a Dynamic Abstract Generation Function

      • Seiji Miike, Etsuo Itoh, Kenji Ono, Kazuo Sumita

      Pages 152-161

2. Statistical Models

   1. Front Matter

      Pages 162-162

      PDF

   2. A Document Retrieval Model Based on Term Frequency Ranks

      • IJsbrand Jan Aalbersberg

      Pages 163-172

   3. Automatic Combination of Multiple Ranked Retrieval Systems

      • Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew

      Pages 173-181

   4. Properties of Extended Boolean Models in Information Retrieval

      • Joon Ho Lee

      Pages 182-190

3. Performance Evaluation

   1. Front Matter

      Pages 191-191

      PDF

   2. OHSUMED: An Interactive Retrieval Evaluation and New Large Test Collection for Research

      • William Hersh, Chris Buckley, T. J. Leone, David Hickam

      Pages 192-201

   3. Results of Applying Probabilistic IR to OCR Text

      • Kazem Taghva, Julie Borsack, Allen Condit

      Pages 202-211

   4. Natural Language vs. Boolean Query Evaluation: A Comparison of Retrieval Performance

      • Howard Turtle

      Pages 212-220

4. Probabilistic Models

   1. Front Matter

      Pages 221-221

      PDF

   2. Inferring Probability of Relevance Using the Method of Logistic Regression

      • Fredric C. Gey

      Pages 222-231

   3. Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval

      • S. E. Robertson, S. Walker

      Pages 232-241

   4. The Formalism of Probability Theory in IR: A Foundation or an Encumbrance?

      • Wm. S. Cooper

      Pages 242-247

5. Interfaces

   1. Front Matter

      Pages 248-248

      PDF

   2. LyberWorld — A Visualization User Interface Supporting Fulltext Retrieval

      • Matthias Hemmje, Clemens Kunkel, Alexander Willett

      Pages 249-259

   3. A System for Discovering Relationships by Feature Extraction from Text Databases

      • Jack G. Conrad, Mary Hunter Utt

      Pages 260-270

6. Routing

   1. Front Matter

      Pages 271-271

      PDF

   2. Information Filtering Based on User Behavior Analysis and Best Match Text Retrieval

      • Masahiro Morita, Yoichi Shinoda

      Pages 272-281

   3. Improving Text Retrieval for the Routing Problem using Latent Semantic Indexing

      • David Hull

      Pages 282-291

Information retrieval (IR) is becoming an increasingly important area as scientific, business and government organisations take up the notion of "information superhighways" and make available their full text databases for searching. Containing a selection of 35 papers taken from the 17th Annual SIGIR Conference held in Dublin, Ireland in July 1994, the book addresses basic research and provides an evaluation of information retrieval techniques in applications. Topics covered include text categorisation, indexing, user modelling, IR theory and logic, natural language processing, statistical and probabilistic models of information retrieval systems, routing, passage retrieval, and implementation issues.

• Hypertext
• classification
• database
• database system
• information retrieval
• natural language processing
• performance
• performance evaluation
• text retrieval
• user interface
• visualization

• Department of Computer Science, University of Massachusetts, Amherst, USA

  Bruce W. Croft

• Department of Computer Science, University of Glasgow, Glasgow, Scotland

  C. J. Rijsbergen

Policies and ethics