Weighted Voting of Different Term Weighting Methods for Natural Language Call Routing

Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics ◽

10.5220/0005956600380046 ◽

2016 ◽

Author(s):

Roman Sergienko ◽

Iuliia Kamshilova ◽

Eugene Semenkin ◽

Alexander Schmitt

Keyword(s):

Natural Language ◽

Term Weighting ◽

Weighted Voting ◽

Call Routing ◽

Weighting Methods

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Collectives of Term Weighting Methods for Natural Language Call Routing

Informatics in Control, Automation and Robotics - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-319-26453-0_6 ◽

2015 ◽

pp. 99-110 ◽

Cited By ~ 1

Author(s):

Roman Sergienko ◽

Tatiana Gasanova ◽

Eugene Semenkin ◽

Wolfgang Minker

Keyword(s):

Natural Language ◽

Term Weighting ◽

Call Routing ◽

Weighting Methods

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A Comparative study on Term Weighting Methods for Automated Telugu Text Categorization with Effective Classifiers

International Journal of Data Mining & Knowledge Management Process ◽

10.5121/ijdkp.2013.3606 ◽

2013 ◽

Vol 3 (6) ◽

pp. 95-105 ◽

Cited By ~ 3

Author(s):

Vishnu Murthy G ◽

Vishnu Vardhan B ◽

Sarangam K ◽

Vijay pal Reddy P

Keyword(s):

Comparative Study ◽

Text Categorization ◽

Term Weighting ◽

Weighting Methods

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Discriminative training of naive Bayes classifiers for natural language call routing

10.21437/interspeech.2004-43 ◽

2004 ◽

Author(s):

Hui Jiang ◽

Pengfei Liu ◽

Imed Zitouni

Keyword(s):

Natural Language ◽

Naive Bayes ◽

Naïve Bayes ◽

Discriminative Training ◽

Call Routing

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A data visualization and analysis method for natural language call routing system design

10.21437/interspeech.2007-70 ◽

2007 ◽

Author(s):

Hong-Kwang Jeff Kuo ◽

Vaibhava Goel

Keyword(s):

Natural Language ◽

System Design ◽

Data Visualization ◽

Analysis Method ◽

Call Routing

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Learning User Intentions in Natural Language Call Routing Systems

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_4 ◽

2016 ◽

pp. 37-46 ◽

Cited By ~ 3

Author(s):

Kamil Aida-zade ◽

Samir Rustamov

Keyword(s):

Natural Language ◽

Call Routing ◽

User Intentions

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A comparative evaluation of term weighting methods for information filtering

Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. ◽

10.1109/dexa.2004.1333442 ◽

2004 ◽

Cited By ~ 7

Author(s):

N. Nanas ◽

V. Uren ◽

A. de Roeck

Keyword(s):

Comparative Evaluation ◽

Information Filtering ◽

Term Weighting ◽

Weighting Methods

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Supervised and Traditional Term Weighting Methods for Automatic Text Categorization

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2008.110 ◽

2009 ◽

Vol 31 (4) ◽

pp. 721-735 ◽

Cited By ~ 286

Author(s):

Man Lan ◽

Chew Lim Tan ◽

Jian Su ◽

Yue Lu

Keyword(s):

Text Categorization ◽

Term Weighting ◽

Weighting Methods ◽

Automatic Text ◽

Traditional Term

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Rapid and inexpensive development of speech action classifiers for natural language call routing systems

2010 IEEE Spoken Language Technology Workshop ◽

10.1109/slt.2010.5700877 ◽

2010 ◽

Cited By ~ 1

Author(s):

Ea-Ee Jan ◽

Brian Kingsbury

Keyword(s):

Natural Language ◽

Call Routing

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Unsupervised training techniques for natural language call routing

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.1004770 ◽

2002 ◽

Cited By ~ 2

Author(s):

Iyer ◽

Gish ◽

McCarthy

Keyword(s):

Natural Language ◽

Training Techniques ◽

Call Routing ◽

Unsupervised Training

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Language Model Estimation for Optimizing End-to-end Performance of a Natural Language Call Routing System

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. ◽

10.1109/icassp.2005.1415176 ◽

2006 ◽

Cited By ~ 5

Author(s):

V. Goel ◽

Hong-Kwang Kuo ◽

S. Deligne ◽

Cheng Wu

Keyword(s):

Natural Language ◽

Language Model ◽

Model Estimation ◽

Call Routing ◽

End To End

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