Topic Detection and Tracking (eBook, PDF)

Event-based Information Organization
Redaktion: Allan, James

• Format: PDF

Produktbeschreibung

Zur Zeit liegt uns keine Inhaltsangabe vor.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer New York
• Seitenzahl: 266
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461509332
• Artikelnr.: 44178779

Inhaltsangabe

1 Introduction to Topic Detection and Tracking.- 1 Introduction.- 2 TDT tasks.- 3 History of TDT.- 4 TDT 1999 and TDT.- 5 The Future of TDT.- 2 Topic Detection and Tracking Evaluation Overview.- 1 Introduction.- 2 TDT Definitions: Stories, Events, and Topics.- 3 TDT Corpora.- 4 Evaluation Methodology.- 5 Task Definitions.- 6 Summary.- 3 Corpora for Topic Detection and Tracking.- 1 Introduction.- 2 Overview of TDT Corpus Development.- 3 Collection of Raw Data.- 4 Transcription.- 5 Story Segmentation.- 6 Topic Definition.- 7 Topic Annotation.- 8 Corpus Formats.- 9 Some Properties of the Corpus.- 10 Conclusion.- 4 Probabilistic Approaches to Topic Detection and Tracking.- 1 Introduction.- 2 Core TDT Technologies.- 3 Corpus Processing.- 4 Tracking.- 5 Detection.- 6 Crosslingual TDT.- 7 Conclusions and Future Work.- 8 Acknowledgments.- 5 Multi-strategy Learning for TDT.- 1 Introduction.- 2 Segmentation.- 3 Topic and Event Tracking.- 4 Topic Detection.- 5 First Story Detection.- 6 Story Link Detection.- 7 Multilingual TDT.- 8 Concluding Remarks.- 6 Statistical Models of Topical Content.- 1 Introduction.- 2 Models of Story Generation.- 3 Tracking Systems.- 4 Detection System.- 5 Summary.- 7 Segmentation and Detection at IBM.- 1 Story Segmentation.- 2 Topic Detection.- 3 Acknowledgements.- 8 A Cluster-Based Approach to Broadcast News.- 1 Introduction.- 2 Segmentation.- 3 Detection.- 4 Tracking.- 5 Acknowledgements.- 9 Signal Boosting for Translingual Topic Tracking.- 1 Introduction.- 2 The Signal-to-Noise Perspective.- 3 Topic Tracking System Architecture.- 4 Contrastive Conditions.- 5 Conclusions and Future Work.- 6 Acknowledgments.- 10 Explorations Within Topic Tracking and Detection.- 1 Introduction.- 2 Basic System.- 3 Tracking.- 4 Cluster Detection.- 5 First Story Detection.- 6 Link Detection.- 7 Bounds on Effectiveness.- 8 Automatic Timeline Generation.- 9 Conclusions.- 11 Towards a "Universal Dictionary" for Multi-Language IR Applications.- 1 Introduction.- 2 Our TDT tracking algorithm.- 3 The "Universal Dictionary" experiment.- 4 Conclusions and Directions for Future Work.- 12 An NLP & IR Approach to Topic Detection.- 1 Introduction.- 2 General System Framework.- 3 Representation of News Stories and Topics.- 4 Similarity and Interpretation of a Two-threshold Method.- 5 Multilingual Topic Detection.- 6 Development Experiments.- 7 Evaluation.- 8 Discussion.- 9 Concluding Remarks and Future Works.