Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions-Reference-Cited by-同舟云学术

Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions

Author:

Omar Marwan¹,Choi Soohyeon¹,Nyang Daehun²^ORCID,Mohaisen David¹

Affiliation:

1. Department of Computer Science, University of Central Florida, Orlando, FL, USA

2. Cyber Security Department, Ewha Womans University, Seoul, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference149 articles.

2. Generating natural adversarial examples;zhao;arXiv 1710 11342,2017

4. Recursive deep models for semantic compositionality over a sentiment treebank;socher;Proc Conf Empirical Methods Natural Lang Process,2013

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