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LREC
2010
164views Education» more  LREC 2010»
15 years 6 months ago
Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
The paper presents an innovative approach to extract Slovene definition candidates from domain-specific corpora using morphosyntactic patterns, automatic terminology recognition a...
Darja Fiser, Senja Pollak, Spela Vintar
148
Voted
LREC
2008
153views Education» more  LREC 2008»
15 years 6 months ago
Named Entity Relation Mining using Wikipedia
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...
Adrian Iftene, Alexandra Balahur-Dobrescu
161
Voted
ICANN
2010
Springer
15 years 6 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 4 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
15 years 6 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi