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» Semantic Language Models for Topic Detection and Tracking
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WEBI
2009
Springer
14 years 10 days ago
Social Semantics and Its Evaluation by Means of Semantic Relatedness and Open Topic Models
—This paper presents an approach using social semantics for the task of topic labelling by means of Open Topic Models. Our approach utilizes a social ontology to create an alignm...
Ulli Waltinger, Alexander Mehler
SIGIR
2002
ACM
13 years 5 months ago
Improving realism of topic tracking evaluation
Topic tracking and information filtering are models of interactive tasks, but their evaluations are generally done in a way that does not reflect likely usage. The models either f...
Anton Leuski, James Allan
SIGIR
2002
ACM
13 years 5 months ago
A critical examination of TDT's cost function
Topic Detection and Tracking (TDT) tasks are evaluated using a cost function. The standard TDT cost function assumes a constant probability of relevance P(rel) across all topics. ...
R. Manmatha, Ao Feng, James Allan
NAACL
2004
13 years 7 months ago
A Statistical Model for Multilingual Entity Detection and Tracking
Entity detection and tracking is a relatively new addition to the repertoire of natural language tasks. In this paper, we present a statistical language-independent framework for ...
Radu Florian, Hany Hassan, Abraham Ittycheriah, Ho...
NIPS
2004
13 years 7 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang