Unlabeled Short Text Similarity With LSTM Encoder

Unlabeled Short Text Similarity With LSTM Encoder

Short texts play an important role in our daily communication. It has been applied in many fields. In this paper, we propose a novel short text similarity measurement algorithm-based long short-term memory (LSTM) encoder. It contains preprocessing, training, and evaluating stages. Our preprocessing...

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Bibliographic Details
Main Authors: Lin Yao, Zhengyu Pan, Huansheng Ning
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Unlabeled
short text
similarity measurement
LSTM encoder
Online Access:https://ieeexplore.ieee.org/document/8570751/

Internet

https://ieeexplore.ieee.org/document/8570751/

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