We discuss Topic Detection, a sub-task of the Topic Detection and Tracking (TDT) Project, and present a system that uses the linguistic and temporal features of news reportage to enhance the discovery of events in a collection of news articles. We describe an online application of these techniques that constructs topical clusters from live news feeds. We conclude that these approaches promise m...

Monitoring news and blogs has become a promising application for global operating groups, who are interested in recognizing topic developments in a fragmented topic landscape. News articles especially long ones may consist of several topics or different aspects of the same topic. In terms of Topic Detection and Tracking (TDT) it is hard to figure out the topic development in a stream of news or...

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...

We describe the tracking and detection systems submitted by Dragon for the TDT2000 evaluation. Our research focus is on improving the distance measure between story and story collection, a computation which is central to many of the TDT tasks. In our tracking engine, we improved the measure by strengthening our targeting procedure, and introduced unsupervised adaptation on high-scoring test sto...

BACKGROUND: Over the past fifteen years, USAID and other donors have made considerable investments in African technology development and transfer (TDT) activities, primarily for research and extension. Yet obligations for TDT under the Development Fund for Africa (DFA) THE IMPACTS OF INVESTMENTS IN declined steadily from $55 million in 1986 to $35 AGRICULTURAL TDT million in 1991, reflecting a ...

Carnegie Mellon University entered two systems in the Story Link Detection track of the 2001 Topic Detection and Tracking (TDT) evaluation. These systems were one of our systems from the 1999 TDT evaluation [1], retuned for the new corpus, which had the third-best cost measure; and a new system that adds clustering and dynamically-generated stopwording, which had the best cost measure among all...

Interactive Topic Detection and Tracking (iTDT) refers to the TDT works which focused on user interaction, user evaluation and user interfaces aspects. This paper investigates and identifies the elements of the design of an interface that aims to facilitate journalists to perform TDT tasks. Therefore we present an (iTDT) interface called Interactive Event Tracking (iEvent) and evaluate the usab...

Qatar presents a unique opportunity to explore potential mLearning applications in a theoretical context. The geographically small country in the Arabian Gulf has nearly ubiquitous mobile and wireless network coverage. The penetration of devices such as smartphones is also incredibly high, including amongst students. And those students have expressed an overwhelming desire to integrate their mo...

Topic detection and tracking approaches monitor broadcast news in order to spot new, previously unreported events and to track the development of the previously spotted ones. The dynamical nature of the events makes the use of state-of-the-art methods difficult. We present a new topic definition that has potential to model evolving events. We also discuss incorporating ontologies into the simil...