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NLPRS
2001
Springer
13 years 12 months ago
Ensembling based on Feature Space Restructuring with Application to WSD
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru...
IUI
2005
ACM
14 years 1 months ago
Interaction techniques using prosodic features of speech and audio localization
We describe several approaches for using prosodic features of speech and audio localization to control interactive applications. This information can be applied to parameter contr...
Alex Olwal, Steven Feiner
ECML
2003
Springer
14 years 21 days ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
AUSAI
2007
Springer
13 years 11 months ago
Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Len
Abstract. This paper describes and compares the use of methods based on Ngrams (specifically trigrams and pentagrams), together with five features, to recognise the syntactic and s...
Kyongho Min, William H. Wilson, Byeong Ho Kang
EMNLP
2008
13 years 9 months ago
Question Classification using Head Words and their Hypernyms
Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In contrast to Li and Roth (2002)'s app...
Zhiheng Huang, Marcus Thint, Zengchang Qin