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ICTIR
2009
Springer
13 years 5 months ago
Training Data Cleaning for Text Classification
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Andrea Esuli, Fabrizio Sebastiani
CVPR
2011
IEEE
13 years 3 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...
INTERSPEECH
2010
13 years 2 months ago
Semi-supervised extractive speech summarization via co-training algorithm
Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semisuperv...
Shasha Xie, Hui Lin, Yang Liu
ICASSP
2011
IEEE
12 years 11 months ago
Automatic identification of speaker role and agreement/disagreement in broadcast conversation
We present supervised approaches for detecting speaker roles and agreement/disagreement between speakers in broadcast conversation shows in three languages: English, Arabic, and M...
Wen Wang, Sibel Yaman, Kristin Precoda, Colleen Ri...
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 3 months ago
Coupled temporal scoping of relational facts
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...
Partha Pratim Talukdar, Derry Tanti Wijaya, Tom Mi...