Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning-Reference-Cited by-同舟云学术

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Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning

Published:2022 Issue: Volume:30 Page:2015-2024
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Yang Bo¹^ORCID,Wu Lijun²^ORCID,Zhu Jinhua³^ORCID,Shao Bo⁴,Lin Xiaola¹,Liu Tie-Yan²^ORCID

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. Microsoft Research Asia, Beijing, China

3. CAS Key Laboratory of GIPAS, EEIS Department, University of Science and Technology of China, Hefei, Anhui, China

4. Microsoft STCA, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9657755/09783103.pdf?arnumber=9783103

Reference45 articles.

1. Normalized amplitude quotient for parametrization of the glottal flow

2. Joint robust voicing detection and pitch estimation based on residual harmonics

3. BioBERT: A pre-trained biomedical language representation model for biomedical text mining;lee;Bioinformatics,2020

4. ClinicalBERT: Modeling clinical notes and predicting hospital readmission;huang,2019

5. TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays

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