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