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» Large-scale extraction and use of knowledge from text
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ICDAR
2007
IEEE
15 years 4 months ago
Robust Document Warping with Interpolated Vector Fields
This paper describes a new versatile algorithm for correcting nonlinear distortions, such as curvature of book pages, in camera based document processing. We introduce the idea of...
D. Schneider, Marco Block, Raúl Rojas
ECAI
2004
Springer
15 years 3 months ago
An Intrinsic Information Content Metric for Semantic Similarity in WordNet
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses. The conventional way of measuring the IC of word sen...
Nuno Seco, Tony Veale, Jer Hayes
ACCV
2010
Springer
14 years 5 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
87
Voted
LREC
2010
129views Education» more  LREC 2010»
14 years 11 months ago
Mining Wikipedia for Large-scale Repositories of Context-Sensitive Entailment Rules
This paper focuses on the central role played by lexical information in the task of Recognizing Textual Entailment. In particular, the usefulness of lexical knowledge extracted fr...
Milen Kouylekov, Yashar Mehdad, Matteo Negri
BMCBI
2006
99views more  BMCBI 2006»
14 years 10 months ago
A proposed metric for assessing the measurement quality of individual microarrays
Background: High-density microarray technology is increasingly applied to study gene expression levels on a large scale. Microarray experiments rely on several critical steps that...
Kyoungmi Kim, Grier P. Page, T. Mark Beasley, Step...