Latent-optimized adversarial neural transfer for sarcasm detection

The existence of multiple datasets for sarcasm detection prompts us to apply transfer learning to exploit their commonality. The adversarial neural transfer (ANT) framework utilizes multiple loss terms that encourage the source-domain and the target-domain feature distributions to be similar while o...

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Bibliographic Details
Main Authors: Guo, Xu, Li, Boyang, Yu, Han, Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:https://aclanthology.org/volumes/2021.naacl-main/
https://hdl.handle.net/10356/153544
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Institution: Nanyang Technological University
Language: English