Accepted Papers

We have received 29 submissions this year, including 20 research articals and 8 technical reports in shared-task of dimABSA. We finally accepted all the technical reports and 12 research papers for the workshop, resulting in an acceptance rate of 60%. Congratulations to the authors!

Accepted Papers:

Automatic Quote Attribution in Chinese Literary Works. Xingxing Yang, Yu WANG.
TeleChat: An Open-source Billingual Large Language Model. Zihan Wang, XinZhang Liu, Shixuan Liu, Yitong Yao, Yuyao Huang, Li Mengxiang, Zhongjiang He, Yongxiang Li, Luwen Pu, Huinan Xu, Chao Wang, Shuangyong Song.
Few-shot Question Generation for Reading Comprehension. Yin Poon, John Sie Yuen Lee, Yu Yan Lam, Wing Lam Suen, Elsie Li Chen Ong, Samuel Kai Wah Chu.
Adversarial Learning for Multi-Lingual Entity Linking. Bingbing Wang, Bin Liang, Zhixin Bai, Yongzhuo Ma.
Incremental pre-training from smaller language models. Han Zhang, Hui Wang, Ruifeng Xu.
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm. Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang.
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure. Lu Ji, Lei Chen, Jing Li, zhongyu wei, Qi Zhang, Xuanjing Huang
Cantonese Natural Language Processing in the Transformers Era. Rong Xiang, Ming Liao, Jing Li
Auto-ACE: An Automatic Answer Correctness Evaluation Method for Conversational Question Answering. Zhixin Bai, Bingbing Wang, Bin Liang, Ruifeng Xu.
Fine-tuning after Prompting: an Explainable Way for Classification. Zezhong WANG, Luyao YE, Hongru WANG, Boyang XUE, Yiming Du, Bin Liang, Kam-Fai Wong.
CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models. ZEYU WANG.
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering. Yiming Du, Hongru WANG, Zhengyi Zhao, Bin Liang, Baojun Wang, Wanjun Zhong, Zezhong WANG, Kam-Fai Wong.

Technical Reports:

Overview of the SIGHAN 2024 shared task for Chinese dimensional aspect-based sentiment analysis. Lung-Hao Lee, Liang-Chih Yu, Suge Wang, Jian Liao.
TMAK-Plus at SIGHAN-2024 dimABSA Task: Multi-Agent Collaboration for Transparent and Rational Sentiment Analysis. Xin Kang, Zhifei Zhang, Jiazheng Zhou, Yunong Wu, Xuefeng Shi, Kazuyuki Matsumoto.
YNU-HPCC at SIGHAN-2024 dimABSA Task: Using PLMs with a Joint Learning Strategy for Dimensional Intensity Prediction. Zehui Wang, You Zhang, Jin Wang, Dan Xu, Xuejie Zhang.
CCIIPLab at SIGHAN-2024 dimABSA Task: Contrastive Learning-Enhanced Span-based Framework for Chinese Dimensional Aspect-Based Sentiment Analysis. Zeliang Tong, Wei Wei.
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning. Senbin Zhu, Hanjie Zhao, wxr, Shanhong Liu, Yuxiang Jia, Hongying ZAN.
JN-NLP at SIGHAN-2024 dimABSA Task: Extraction of Sentiment Intensity Quadruples Based on Paraphrase Generation. Yunfan Jiang, Tianci Liu, Heng-yang Lu.
DS-Group at SIGHAN-2024 dimABSA Task: Constructing In-context Learning Structure for Dimensional Aspect-Based Sentiment Analysis. Ling-ang Meng, Tianyu Zhao, Dawei Song.
HITSZ-HLT at SIGHAN-2024 dimABSA Task: Integrating BERT and LLM for Chinese Dimensional Aspect-Based Sentiment Analysis. Hongling Xu, Delong Zhang, Yice Zhang, Ruifeng Xu.