Emotion Classification in Texts Over Graph Neural Networks: Semantic Representation is Better Than Syntactic-Reference-Cited by-同舟云学术

Emotion Classification in Texts Over Graph Neural Networks: Semantic Representation is Better Than Syntactic

Author:

Ameer Iqra¹^ORCID,Bölücü Necva²,Sidorov Grigori³^ORCID,Can Burcu⁴

Affiliation:

1. Computer Science Program, Division of Science and Engineering, Pennsylvania State University at Abington, Abington, PA, USA

2. Department of Computer Engineering, Hacettepe University, Ankara, Turkey

3. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

4. Department of Computing Science and Mathematics, University of Stirling, Stirling, U.K

Funder

Mexican Government, Mexico, through Consejo Nacional de Ciencia y Tecnología

Secretaría de Investigación y Posgrado of the Instituto Politécnico Nacional, Mexico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference118 articles.

1. ESimCSE: Enhanced sample building method for contrastive learning of unsupervised sentence embedding;wu;arXiv 2109 04380,2021

4. S-SimCSE: Sampled sub-networks for contrastive learning of sentence embedding;zhang;arXiv 2111 11750,2021

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