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» On Kernel Methods for Relational Learning
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127
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EMNLP
2009
15 years 1 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
WWW
2009
ACM
16 years 4 months ago
Measuring the similarity between implicit semantic relations from the web
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
145
Voted
ICML
2008
IEEE
16 years 4 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
128
Voted
VLSISP
2008
93views more  VLSISP 2008»
15 years 3 months ago
Performance and Energy Consumption Improvements in Microprocessor Systems Utilizing a Coprocessor Data-Path
The speedups and the energy reductions achieved in a generic single-chip microprocessor system by employing a high-performance data-path are presented. The data-path acts as a copr...
Michalis D. Galanis, Gregory Dimitroulakos, Costas...
NAACL
2007
15 years 4 months ago
A Systematic Exploration of the Feature Space for Relation Extraction
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...
Jing Jiang, ChengXiang Zhai