In this work, we propose an end-to-end reinforcement learning framework, which jointly performs counterfactual data generation and dual sentiment classification ...
In this work, we propose an end-to-end reinforcement learning framework, which jointly performs counterfactual data generation and dual sentiment classification ...
Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification. This repository contains code for our EMNLP2021 paper: Reinforced ...
Feb 23, 2024 · Rein- forced counterfactual data augmentation for dual sentiment classification. In Proceedings of the. 2021 Conference on Empirical Methods ...
Abstract. Aspect-based-sentiment-analysis (ABSA) is a fine-grained sentiment evaluation task, which analyzes the emotional polarity of the evaluation ...
Missing: Reinforced | Show results with:Reinforced
Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification. Hao Chen and 2 other authors. Reinforced Counterfactual Data Augmentation for ...
Hao Chen, Rui Xia, and Jianfei Yu. Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification. In Proceedings of EMNLP ...
EMNLP 2021. [RCDA'21] Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification. ... Data Augmentation Methods on Text Classification ...
Jul 4, 2024 · Natural Language Counterfactual generation aims to minimally modify a given text such that the modified text will be classified into.
Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification. ... Classification via Sentiment Classification with Dual Attention Transfer ...