Add to ORKGUMass Amherst, CMU, DARPA, Dragon Systems, and CMU Topic Detection and Tracking (TDT) is a DARPA-sponsored initia-tive to investigate the state of the art in finding and following new events in a stream of broadcast news stories. The TDT problem con-sists of three major tasks: (1) segmenting a stream of data, especially recognized speech, into distinct stories; (2) identifying those news stories that are the first to discuss a new event occurring in the news; and (3) given a small number of sample news stories about an event, finding all following stories in the stream. The TDT Pilot Study ran from September 1996 through October 1997. The primary participants were DARPA, Carnegie Mellon University, Dragon Systems, and the University of Mass...
The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated rese...
Abstract. The main purpose of topic detection and tracking (TDT) is to detect, group, and organize n...
TDT-2004 marked Stottler Henke’s second year of participation in the New Event Detection (NED) track...
Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative to investigate the state of the a...
Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative concerned with finding groups of ...
The National Institute of Standards and Technology (NIST) administered the sixth open evaluation of ...
The web has become the fastest growing and the most up to date source of information. Web mining is ...
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper a...
Topic detection (TD) is an important area of research whose primary goal is to detect retrospective ...
Due to the popularity of the Internet, most news stories have electronic versions published on newsw...
In Topic Detection and Tracking (TDT), topics are at different levels of granularity. Some topics co...
Topic detection and tracking approaches monitor broadcast news in order to spot new, previously unre...
The goal of TDT Topic Detection and Tracking is to develop auto-matic methods of identifying topical...
Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a ...
This paper reports the results achieved by Carnegie Mellon University on the Topic Detection and Tr...
The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated rese...
Abstract. The main purpose of topic detection and tracking (TDT) is to detect, group, and organize n...
TDT-2004 marked Stottler Henke’s second year of participation in the New Event Detection (NED) track...
Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative to investigate the state of the a...
Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative concerned with finding groups of ...
The National Institute of Standards and Technology (NIST) administered the sixth open evaluation of ...
The web has become the fastest growing and the most up to date source of information. Web mining is ...
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper a...
Topic detection (TD) is an important area of research whose primary goal is to detect retrospective ...
Due to the popularity of the Internet, most news stories have electronic versions published on newsw...
In Topic Detection and Tracking (TDT), topics are at different levels of granularity. Some topics co...
Topic detection and tracking approaches monitor broadcast news in order to spot new, previously unre...
The goal of TDT Topic Detection and Tracking is to develop auto-matic methods of identifying topical...
Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a ...
This paper reports the results achieved by Carnegie Mellon University on the Topic Detection and Tr...
The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated rese...
Abstract. The main purpose of topic detection and tracking (TDT) is to detect, group, and organize n...
TDT-2004 marked Stottler Henke’s second year of participation in the New Event Detection (NED) track...