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KDD
2006
ACM
141views Data Mining» more  KDD 2006»
14 years 10 months ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 10 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
PAKDD
2009
ACM
116views Data Mining» more  PAKDD 2009»
14 years 5 months ago
Scalable Web Mining with Newistic
Abstract. Newistic is a web mining platform that collects and analyses documents crawled from the Internet. Although it currently processes news articles, it can be easily adapted ...
Ovidiu Dan, Horatiu Mocian
ICASSP
2009
IEEE
14 years 5 months ago
Impact of novel sources on content-based image and video retrieval
The problem of content-based image and video retrieval with textual queries is often posed as that of visual concept classification, where classifiers for a set of predetermined...
Arnab Ghoshal, Sanjeev Khudanpur, Dietrich Klakow
ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Word Topical Mixture Models for Extractive Spoken Document Summarization
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Berlin Chen, Yi-Ting Chen