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ACL
2011
12 years 11 months ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky
SIGIR
2009
ACM
14 years 2 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
IJCNN
2000
IEEE
14 years 2 days ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
AUSAI
2008
Springer
13 years 9 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
ICANN
2009
Springer
13 years 11 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao