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ICDAR
2003
IEEE
14 years 3 months ago
An Approach to Extracting the Target Text Line from a Document Image Captured by a Pen Scanner
In this paper, we present a new approach to extracting the target text line from a document image captured by a pen scanner. Given the binary image, a set of possible text lines a...
Zhen-Long Bai, Qiang Huo
ICDAR
2003
IEEE
14 years 3 months ago
Extraction, layout analysis and classification of diagrams in PDF documents
Diagrams are a critical part of virtually all scientific and technical documents. Analyzing diagrams will be important for building comprehensive document retrieval systems. This ...
Robert P. Futrelle, Mingyan Shao, Chris Cieslik, A...
LREC
2008
150views Education» more  LREC 2008»
13 years 11 months ago
Causal Relation Extraction
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
Eduardo Blanco, Núria Castell, Dan I. Moldo...
ICML
2000
IEEE
14 years 10 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...
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 10 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher