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ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
14 years 2 months ago
Hierarchical Bayesian Models for Collaborative Tagging Systems
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...
ACL
2010
13 years 5 months ago
A Hybrid Hierarchical Model for Multi-Document Summarization
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...
Asli Çelikyilmaz, Dilek Hakkani-Tur
ICTAI
2006
IEEE
14 years 1 months ago
Hierarchical Language Models for Expert Finding in Enterprise Corpora
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...
Desislava Petkova, W. Bruce Croft
ACL
2006
13 years 8 months ago
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-pa...
Matthew Purver, Konrad P. Körding, Thomas L. ...
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
14 years 1 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles