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Yanyan Zhao
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Publications
- 2025
[j30]Hao Yang, Tian Zheng, Yanyan Zhao, Yang Wu, Jianhua Yuan, Wanxiang Che, Shijin Wang, Si Wei, Bing Qin:
From unimodal to multimodal: a framework for generating high-quality multimodal emotional chit-chat dialogue. Sci. China Inf. Sci. 68(10) (2025)- 2023
[c49]Wenjia Yi, Yanyan Zhao, Jianhua Yuan, Weixiang Zhao, Bing Qin
:
Improving Affective Event Classification with Multi-perspective Knowledge Injection. CCL 2023: 400-416- 2022
[j17]Jianhua Yuan, Yanyan Zhao
, Bing Qin
:
Learning to share by masking the non-shared for multi-domain sentiment classification. Int. J. Mach. Learn. Cybern. 13(9): 2711-2724 (2022)
[c37]Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin:
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection. COLING 2022: 6846-6858
[i8]Pengfei Deng, Jianhua Yuan, Yanyan Zhao, Bing Qin
:
Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition. CoRR abs/2209.02276 (2022)
[i4]Jianhua Yuan, Yanyan Zhao, Bing Qin
:
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning. CoRR abs/2212.10392 (2022)- 2021
[c31]Xin Zhang, Jianhua Yuan, Yanyan Zhao
, Bing Qin
:
Knowledge Enhanced Target-Aware Stance Detection on Tweets. CCKS 2021: 171-184
[i3]Jianhua Yuan
, Yanyan Zhao, Bing Qin, Ting Liu:
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. CoRR abs/2104.08480 (2021)- 2019
[c20]Jianhua Yuan
, Yanyan Zhao, Jingfang Xu, Bing Qin
:
Exploring Answer Stance Detection with Recurrent Conditional Attention. AAAI 2019: 7426-7433- 2018
[c18]Dawei Cong, Jianhua Yuan
, Yanyan Zhao
, Bing Qin
:
A Joint Model for Sentiment Classification and Opinion Words Extraction. CCL 2018: 337-347- 2017
[c16]Jianhua Yuan
, Huaipeng Zhao, Yanyan Zhao
, Dawei Cong, Bing Qin
, Ting Liu:
Babbling - The HIT-SCIR System for Emotional Conversation Generation. NLPCC 2017: 632-641
[c15]Jianhua Yuan
, Yanyan Zhao
, Bing Qin
, Ting Liu:
Local Contexts Are Effective for Neural Aspect Extraction. SMP 2017: 244-255

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