Topic Detection & Tracking (TDT) Overview & Perspective
نویسنده
چکیده
Topic Detection and Tracking (TDT) refers to automatic techniques for finding topically related material in streams of data (e.g., newswire and broadcast news). Work on TDT began about a year ago, is now expanding, and will be a regular feature at future Broadcast News workshops.
منابع مشابه
Topic Detection and Tracking Evaluation Overview
The objective of the Topic Detection and Tracking (TDT) program is to develop technologies that search, organize and structure multilingual, news oriented textual materials from a variety of broadcast news media. This research program uses controlled laboratory simulations of hypothetical systems to test the efficacy of potential technologies, to gauge research progress, and to provide a forum ...
متن کاملNIST's 1998 topic detection and tracking evaluation (TDT2)
This paper presents a summary of the 1998 Topic Detection and Tracking (TDT) tasks and the results of the 1998 TDT evaluation. The purpose of TDT is to develop technologies for retrieval and automatic organization of Broadcast News and Newswire stories and to evaluate the performance of those technologies. The TDT project builds on and extends the technologies of Automatic Speech Recognition an...
متن کاملResults of the 2003 Topic Detection and Tracking Evaluation
The National Institute of Standards and Technology (NIST) administered the sixth open evaluation of Topic Detection and Tracking (TDT) technologies in November of 2003. The TDT project supports development of technologies that automatically organize eventrelated news stories. The program leverages expertise in core technologies, Automatic Speech Recognition (ASR), Document Retrieval (DR), and M...
متن کاملResults of the 1999 topic detection and tracking evaluation in Mandarin and English
The National Institute of Standards and Technology (NIST) administered the second open evaluation of Topic Detection and Tracking (TDT) technologies in 1999. The TDT project supports development of technologies that automatically organize event-related news stories. The program leverages expertise in core technologies, Automatic Speech Recognition (ASR), Document Retrieval (DR), and Machine Tra...
متن کاملTdt-2004: Adaptive Topic Tracking at Maryland
A topic tracking system that combines elements from vector space and language modeling frameworks to compute document scores is described. The model is used for both the traditional TDT topic tracking evaluation design and the new supervised adaptive topic tracking evaluation. Results indicate that supervised adaptation and score normalization should be more closely coupled, and that current te...
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تاریخ انتشار 1998