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Qingchun Bai
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2020 – today
- 2024
- [j8]Qingchun Bai, Mengmeng Tang, Yang Song, Jun Xiao:
Extracting entity and relationship interactions from danmaku-video comments using a neural bootstrapping framework. J. Supercomput. 80(7): 9894-9916 (2024) - [c8]Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. LREC/COLING 2024: 10324-10335 - [i2]Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. CoRR abs/2402.15289 (2024) - 2023
- [j7]Xianghui Meng, Yang Song
, Qingchun Bai, Taoyi Wang:
CBKI: A confidence-based knowledge integration framework for multi-choice machine reading comprehension. Knowl. Based Syst. 277: 110796 (2023) - [j6]Qingchun Bai
A weakly supervised knowledge attentive network for aspect-level sentiment classification. J. Supercomput. 79(5): 5403-5420 (2023) - [j5]Mengmeng Tang, Yuanbo Guo, Qingchun Bai, Han Zhang:
Trigger-free cybersecurity event detection based on contrastive learning. J. Supercomput. 79(18): 20984-21007 (2023) - 2022
- [j4]Qingchun Bai, Jie Zhou
PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. 78(3): 4073-4094 (2022) - [c7]Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. ICASSP 2022: 4303-4307 - [c6]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. IJCNN 2022: 1-8 - [c5]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. SemEval@NAACL 2022: 1336-1342 - [c4]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR 2022: 1944-1949 - [i1]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. CoRR abs/2205.15514 (2022) - 2021
- [j3]Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He:
Aligned variational autoencoder for matching danmaku and video storylines. Neurocomputing 454: 228-237 (2021) - [j2]Qingchun Bai
Entity-level sentiment prediction in Danmaku video interaction. J. Supercomput. 77(9): 9474-9493 (2021)
2010 – 2019
- 2019
- [j1]Qingchun Bai
Stories That Big Danmaku Data Can Tell as a New Media. IEEE Access 7: 53509-53519 (2019) - 2018
- [c3]Qingchun Bai, Qi Zhang, Qinmin Hu, Liang He:
ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval. CLEF (Working Notes) 2018 - [c2]Qingchun Bai, Qinmin Hu, Faming Fang, Liang He:
Topic Detection with Danmaku: A Time-Sync Joint NMF Approach. DEXA (2) 2018: 428-435 - [c1]Qingchun Bai, Kai Wei, Mengwei Chen, Qinmin Hu, Liang He:
Mining Temporal Discriminant Frames via Joint Matrix Factorization: A Case Study of Illegal Immigration in the U.S. News Media. KSEM (1) 2018: 260-267
Coauthor Index
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last updated on 2024-08-08 19:20 CEST by the dblp team
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