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ICML
2006
IEEE
15 years 12 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
ICML
2000
IEEE
15 years 12 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
WWW
2008
ACM
15 years 11 months ago
Emergence of terminological conventions as an author-searcher coordination game
All information exchange on the Internet ? whether through full text, controlled vocabularies, ontologies, or other mechanisms ? ultimately requires that that an information provi...
David Bodoff, Sheizaf Rafaeli
92
Voted
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 11 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
EDM
2008
289views Data Mining» more  EDM 2008»
15 years 15 days ago
Developing a Log-based Motivation Measuring Tool
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which...
Arnon Hershkovitz, Rafi Nachmias