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AIRS
2010
Springer
13 years 5 months ago
Event Recognition from News Webpages through Latent Ingredients Extraction
We investigate the novel problem of event recognition from news webpages. "Events" are basic text units containing news elements. We observe that a news article is always...
Rui Yan, Yu Li, Yan Zhang, Xiaoming Li
LREC
2008
133views Education» more  LREC 2008»
13 years 9 months ago
Automatic Identification of Temporal Information in Tourism Web Pages
This paper presents our work on the detection of temporal information in web pages. The pages examined within the scope of this study were taken from the tourism sector and the te...
Stéphanie Weiser, Philippe Laublet, Jean-Lu...
JIIS
2002
114views more  JIIS 2002»
13 years 7 months ago
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Ata Kabán, Mark Girolami
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 8 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
ACL
2012
11 years 10 months ago
Finding Bursty Topics from Microblogs
Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Al...
Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim