Short Text Understanding Combining Text Conceptualization and Transformer Embedding

Short text understanding is a key task and popular issue in current natural language processing. Because the content of short texts is characterized by sparsity and semantic limitation, the traditional search methods that analyze only the semantics of literal text for short text understanding and si...

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Bibliographic Details
Main Authors: Jun Li, Guimin Huang, Jianheng Chen, Yabing Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8819947/