Enriching basic features via multilayer bag-of-words binding for Chinese question classification

Enriching basic features via multilayer bag-of-words binding for Chinese question classification

Question classification helps to generate more accurate answers in question answering system. For an efficient question classifier, one of the most important tasks is to fully mine useful features. Aiming at solving the problem of lacking of rich syntax and semantic features in Chinese question clas...

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Bibliographic Details
Main Authors: Sichun Yang, Chao Gao
Format: Article
Language:English
Published: Wiley 2019-03-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
natural language processing
question answering (information retrieval)
support vector machines
learning (artificial intelligence)
pattern classification
Chinese question classification
multilayer bag-of-words binding
potential features
word sense
MBWB operator
classification accuracy
MBWB features
accurate answers
question answering system
semantic features
basic features
question classifier
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2017.0016

Internet

https://digital-library.theiet.org/content/journals/10.1049/trit.2017.0016

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