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IJCAI
2007
13 years 9 months ago
Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions
We describe an approach to extract attribute-value pairs from product descriptions. This allows us to represent products as sets of such attribute-value pairs to augment product d...
Katharina Probst, Rayid Ghani, Marko Krema, Andrew...
TASLP
2010
85views more  TASLP 2010»
13 years 6 months ago
Multi-View Semi-Supervised Learning for Dialog Act Segmentation of Speech
Ümit Güz, Sébastien Cuendet, Dile...
EMNLP
2010
13 years 5 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
CORR
2012
Springer
228views Education» more  CORR 2012»
12 years 3 months ago
Active Semi-Supervised Learning using Submodular Functions
Andrew Guillory, Jeff A. Bilmes