Topic Detection and Tracking: Event-based Information Organization

Topic Detection and Tracking: Event-based Information Organization

by James Allan
     
 

View All Available Formats & Editions

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

Overview

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

Editorial Reviews

Topic Detection and Tracking is a body of research and an evaluation paradigm that addresses the event-based organization of broadcast news. To help researchers avoid unnecessary duplication and suggest interesting lines of pursuit, a dozen technical papers synthesize findings in the field since it began about five years ago, and are otherwise scattered in technical reports, unpublished manuscripts, and conference proceedings. Most discuss research carried out in evaluation workshops held in March and November 2000. Others explore the history, motivations, and some general results of the research; details of the evaluation paradigm; and the creation of the two major evaluation corpora, including stories, topics, and relevance judgements. Annotation c. Book News, Inc., Portland, OR

Product Details

ISBN-13:
9781461353119
Publisher:
Springer US
Publication date:
04/30/2013
Series:
The Information Retrieval Series, #12
Edition description:
Softcover reprint of the original 1st ed. 2002
Pages:
266
Product dimensions:
6.14(w) x 9.21(h) x 0.60(d)

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >