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Topic Detection and Tracking : Event-based Information Organization - James Allan

Topic Detection and Tracking

Event-based Information Organization

By: James Allan (Editor)

Hardcover

Published: 28th February 2002
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Topic Detection and Tracking: Event-based Information Organization brings together in one place state-of-the-art research in Topic Detection and Tracking (TDT). This collection of technical papers from leading researchers in the field not only provides several chapters devoted to the research program and its evaluation paradigm, but also presents the most current research results and describes some of the remaining open challenges.
Topic Detection and Tracking: Event-based Information Organization is an excellent reference for researchers and practitioners in a variety of fields related to TDT, including information retrieval, automatic speech recognition, machine learning, and information extraction

Prefacep. ix
Introduction to Topic Detection and Trackingp. 1
Introductionp. 1
TDT tasksp. 3
History of TDTp. 7
TDT 1999 and TDT 2000p. 10
The Future of TDTp. 13
Topic Detection and Tracking Evaluation Overviewp. 17
Introductionp. 17
TDT Definitions: Stories, Events, and Topicsp. 18
TDT Corporap. 19
Evaluation Methodologyp. 20
Task Definitionsp. 25
Summaryp. 30
Corpora for Topic Detection and Trackingp. 33
Introductionp. 33
Overview of TDT Corpus Developmentp. 35
Collection of Raw Datap. 36
Transcriptionp. 38
Story Segmentationp. 39
Topic Definitionp. 42
Topic Annotationp. 45
Corpus Formatsp. 54
Some Properties of the Corpusp. 61
Conclusionp. 64
Probabilistic Approaches to Topic Detection and Trackingp. 67
Introductionp. 67
Core TDT Technologiesp. 68
Corpus Processingp. 75
Trackingp. 75
Detectionp. 77
Crosslingual TDTp. 80
Conclusions and Future Workp. 81
Acknowledgmentsp. 82
Multi-strategy Learning for TDTp. 85
Introductionp. 85
Segmentationp. 87
Topic and Event Trackingp. 88
Topic Detectionp. 96
First Story Detectionp. 99
Story Link Detectionp. 101
Multilingual TDTp. 107
Concluding Remarksp. 111
Statistical Models of Topical Contentp. 115
Introductionp. 115
Models of Story Generationp. 117
Tracking Systemsp. 120
Detection Systemp. 128
Summaryp. 132
Segmentation and Detection at IBMp. 135
Story Segmentationp. 135
Topic Detectionp. 142
Acknowledgementsp. 147
A Cluster-Based Approach to Broadcast Newsp. 149
Introductionp. 149
Segmentationp. 152
Detectionp. 154
Trackingp. 163
Acknowledgementsp. 173
Signal Boosting for Translingual Topic Trackingp. 175
Introductionp. 176
The Signal-to-Noise Perspectivep. 177
Topic Tracking System Architecturep. 178
Contrastive Conditionsp. 184
Conclusions and Future Workp. 191
Acknowledgmentsp. 194
Explorations Within Topic Tracking and Detectionp. 197
Introductionp. 197
Basic Systemp. 198
Trackingp. 203
Cluster Detectionp. 205
First Story Detectionp. 208
Link Detectionp. 208
Bounds on Effectivenessp. 216
Automatic Timeline Generationp. 219
Conclusionsp. 222
Towards a "Universal Dictionary" for Multi-Language IR Applicationsp. 225
Introductionp. 225
Our TDT tracking algorithmp. 229
The "Universal Dictionary" experimentp. 236
Conclusions and Directions for Future Workp. 239
An NLP & IR Approach to Topic Detectionp. 243
Introductionp. 243
General System Frameworkp. 245
Representation of News Stories and Topicsp. 246
Similarity and Interpretation of a Two-threshold Methodp. 248
Multilingual Topic Detectionp. 250
Development Experimentsp. 256
Evaluationp. 259
Discussionp. 261
Concluding Remarks and Future Worksp. 262
Indexp. 265
Table of Contents provided by Syndetics. All Rights Reserved.

ISBN: 9780792376644
ISBN-10: 0792376641
Series: The Information Retrieval Series
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 266
Published: 28th February 2002
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.5 x 15.5  x 2.08
Weight (kg): 1.27