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ACL
2009
13 years 5 months ago
Distributional Representations for Handling Sparsity in Supervised Sequence-Labeling
Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
Fei Huang, Alexander Yates
AIRS
2010
Springer
13 years 4 months ago
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
Ziheng Lin, Yan Gu, Samarjit Chakraborty
ICDE
2008
IEEE
218views Database» more  ICDE 2008»
14 years 8 months ago
AxPRE Summaries: Exploring the (Semi-)Structure of XML Web Collections
The nature of semistructured data in web collections is evolving. Increasingly, XML web documents (or documents exchanged via web services) are valid with regard to a schema, yet ...
Mariano P. Consens, Flavio Rizzolo, Alejandro A. V...
ICML
2004
IEEE
14 years 8 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
AUSAI
2007
Springer
14 years 1 months ago
The Semantic Representation of Temporal Expressions in Text
Abstract. Temporal expressions—references to points in time or periods of time—are widespread in text, and their proper interpretation is essential for any natural language pro...
Robert Dale, Pawel P. Mazur