A Deep Paraphrase Identification Model Interacting Semantics with Syntax

Paraphrase identification is central to many natural language applications. Based on the insight that a successful paraphrase identification model needs to adequately capture the semantics of the language objects as well as their interactions, we present a deep paraphrase identification model intera...

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Bibliographic Details
Main Authors: Leilei Kong, Zhongyuan Han, Yong Han, Haoliang Qi
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/9757032
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