Reliable Classification of FAQs with Spelling Errors Using an Encoder-Decoder Neural Network in Korean

To resolve lexical disagreement problems between queries and frequently asked questions (FAQs), we propose a reliable sentence classification model based on an encoder-decoder neural network. The proposed model uses three types of word embeddings; fixed word embeddings for representing domain-indepe...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Youngjin Jang, Harksoo Kim
Format:	Article
Language:	English
Published:	MDPI AG 2019-11-01
Subjects:	faq classification encoder-decoder neural network multi-level word embeddings
Online Access:	https://www.mdpi.com/2076-3417/9/22/4758