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KDD
1997
ACM
120views Data Mining» more  KDD 1997»
15 years 2 months ago
Discovering Trends in Text Databases
We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting...
Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant
LREC
2008
111views Education» more  LREC 2008»
14 years 11 months ago
Annotation of Information Structure: an Evaluation across different Types of Texts
We report on the evaluation of information structural annotation according to the Linguistic Information Structure Annotation Guidelines (LISA, (Dipper et al., 2007)). The annotat...
Julia Ritz, Stefanie Dipper, Michael Götze
COLING
2000
14 years 11 months ago
A Bootstrapping Method for Extracting Bilingual Text Pairs
This paper proposes a method for extracting bilingual text pairs from a comparable corpus. The basic idea of the method is to apply bootstrapping to an existing corpusbased cross-...
Hiroshi Masuichi, Raymond Flournoy, Stefan Kaufman...
BMCBI
2006
127views more  BMCBI 2006»
14 years 10 months ago
Exploring supervised and unsupervised methods to detect topics in biomedical text
Background: Topic detection is a task that automatically identifies topics (e.g., "biochemistry" and "protein structure") in scientific articles based on infor...
Minsuk Lee, Weiqing Wang, Hong Yu
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 4 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler