SIGIR '94 -

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Résumé :
The book provides comprehensive coverage of the broad range of techniques that make up an effective text-based information system, particularly in the areas of categorisation and routing. These tasks - although related to traditional information retrieval and using many of the same techniques - are different in some crucial aspects, and this has led to a variety of interesting and exciting new research....

Sommaire:
Text Categorisation.- A Sequential Algorithm for Training Text Classifiers.- Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval.- Towards Language Independent Automated Learning of Text Categorisation Methods.- Using IR Techniques for Text Classification in Document Analysis.- Indexing.- An Evaluation Method for Stemming Algorithms.- On the Measurement of Inter-Linker Consistency and Retrieval Effectiveness in Hypertext Databases.- Query Expansion Using Lexical-Semantic Relations.- User Modelling.- Perceptual Speed, Learning and Information Retrieval Performance.- Term Relevance Feedback and Query Expansion: Relation to Design.- Modelling Information Retrieval Agents with Belief Revision.- Polyrepresentation of Information Needs and Semantic Entities: Elements of a Cognitive Theory for Information Retrieval Interaction.- Theory and Logic.- Investigating Aboutness Axioms using Information Fields.- A Probabilistic Terminological Logic for Modelling Information Retrieval.- Natural Language Processing.- Retrieving Terms and their Variants in a Lexicalised Unification-Based Framework.- Word Sense Disambiguation and Information Retrieval.- A Full-Text Retrieval System with a Dynamic Abstract Generation Function.- Statistical Models.- A Document Retrieval Model Based on Term Frequency Ranks.- Automatic Combination of Multiple Ranked Retrieval Systems.- Properties of Extended Boolean Models in Information Retrieval.- Performance Evaluation.- OHSUMED: An Interactive Retrieval Evaluation and New Large Test Collection for Research.- Results of Applying Probabilistic IR to OCR Text.- Natural Language vs. Boolean Query Evaluation: A Comparison of Retrieval Performance.- Probabilistic Models.- Inferring Probability of Relevance Using the Method of Logistic Regression.- Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval.- Triennial ACM-SIGIR award paper: The Formalism of Probability Theory in IR: A Foundation for An Encumbrance?.- Interfaces.- LyberWorld - A Visualization User Interface Supporting Fulltext Retrieval.- A System for Discovering Relationships by Feature Extraction from Text Databases.- Routing.- Information Filtering Based on User Behaviour Analysis and Best Match Text Retrieval.- Improving Text Retrieval for the Routing Problem using Latent Semantic Indexing.- The Effect of Adding Relevance Information in a Relevance Feedback Environment.- Passage Retrieval.- Passage-Level Evidence in Document Retrieval.- Effective Retrieval of Structured Documents.- Document and Passage Retrieval Based on Hidden Markov Models.- Implementation.- Synthetic Workload Performance Analysis of Incremental Updates.- Document Filtering for Fast Ranking.- Adapting a Full-text Information Retrieval System to the Computer Troubleshooting Domain.- Panel Sessions.- Integration of Information Retrieval and Database Systems.- Evaluating Interactive Retrieval Systems.- Author Index.