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PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
14 years 11 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell
118
Voted
TKDE
2010
224views more  TKDE 2010»
14 years 11 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
EMNLP
2010
14 years 10 months ago
Automatic Detection and Classification of Social Events
In this paper we introduce the new task of social event extraction from text. We distinguish two broad types of social events depending on whether only one or both parties are awa...
Apoorv Agarwal, Owen Rambow
IEAAIE
2010
Springer
14 years 10 months ago
Hierarchical Topic-Based Communities Construction for Authors in a Literature Database
In this paper, given a set of research papers with only title and author information, a mining strategy is proposed to discover and organize the communities of authors according to...
Chien-Liang Wu, Jia-Ling Koh
178
Voted
TGC
2010
Springer
14 years 10 months ago
Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chain...
Marco Bernardo, Rocco De Nicola, Michele Loreti