1 code implementation • 21 Oct 2019 • Emad M. Grais, Fei Zhao, Mark D. Plumbley
In the spectrogram of a mixture of singing voices and music signals, there is usually more information about the voice in the low frequency bands than the high frequency bands.
1 code implementation • 7 Jan 2020 • Zhen Wu, Fei Zhao, Xin-yu Dai, Shu-Jian Huang, Jia-Jun Chen
In this paper, we propose a novel model to transfer these opinions knowledge from resource-rich review sentiment classification datasets to low-resource task TOWE.
Aspect-oriented Opinion Extraction General Classification +3
3 code implementations • Findings of the Association for Computational Linguistics 2020 • Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia
To validate the feasibility and compatibility of GTS, we implement three different GTS models respectively based on CNN, BiLSTM, and BERT, and conduct experiments on the aspect-oriented opinion pair extraction and opinion triplet extraction datasets.
Ranked #1 on Aspect Sentiment Triplet Extraction on Res14
Aspect-Sentiment-Opinion Triplet Extraction Aspect Sentiment Triplet Extraction
1 code implementation • COLING 2020 • Fei Zhao, Zhen Wu, Xinyu Dai
In neural network-based methods for ASC, most works employ the attention mechanism to capture the corresponding sentiment words of the opinion target, then aggregate them as evidence to infer the sentiment of the target.
no code implementations • 4 Mar 2021 • Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, Qingwen Lin, Haidi Yang
Wideband Absorbance Immittance (WAI) has been available for more than a decade, however its clinical use still faces the challenges of limited understanding and poor interpretation of WAI results.
1 code implementation • IEEE Transactions on Systems, Man, and Cybernetics: Systems 2022 • Min Wang, Chunyu Yang, Fei Zhao, Fan Min, XiZhao Wang
A reasonable machine learning scenario involves obtaining certain values and labels at cost on request.
1 code implementation • 9 Oct 2022 • Fei Zhao, Yuchen Shen, Zhen Wu, Xinyu Dai
Multi-Label Few-Shot Aspect Category Detection (FS-ACD) is a new sub-task of aspect-based sentiment analysis, which aims to detect aspect categories accurately with limited training instances.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
1 code implementation • 27 May 2023 • Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao, Xinyu Dai
In this paper, we introduce a new dataset, named DMASTE, which is manually annotated to better fit real-world scenarios by providing more diverse and realistic reviews for the task.
1 code implementation • 30 Sep 2023 • Fei Zhao, Taotian Pang, Zhen Wu, Zheng Ma, ShuJian Huang, Xinyu Dai
Previous studies have revealed that ICL is sensitive to the selection and the ordering of demonstrations.
1 code implementation • 9 Oct 2023 • Shangyu Xing, Fei Zhao, Zhen Wu, Chunhui Li, Jianbing Zhang, Xinyu Dai
Multimodal Entity Linking (MEL) is a task that aims to link ambiguous mentions within multimodal contexts to referential entities in a multimodal knowledge base.
1 code implementation • 23 Oct 2023 • Fei Zhao, Chunhui Li, Zhen Wu, Yawen Ouyang, Jianbing Zhang, Xinyu Dai
Therefore, in this work, we focus on whether the negative impact of noisy images can be reduced without modifying the data.
no code implementations • 15 Feb 2024 • Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, WeiHao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai
Multimodal large language models (MLLMs) have attracted increasing attention in the past few years, but they may still generate descriptions that include objects not present in the corresponding images, a phenomenon known as object hallucination.
no code implementations • 18 Feb 2024 • Zheng Ma, Changxin Wang, Yawen Ouyang, Fei Zhao, Jianbing Zhang, ShuJian Huang, Jiajun Chen
If a certain metric has flaws, it will be exploited by the model and reflected in the generated sentences.
1 code implementation • 24 Mar 2024 • Taotian Pang, Xingyu Lou, Fei Zhao, Zhen Wu, Kuiyao Dong, Qiuying Peng, Yue Qi, Xinyu Dai
Specifically, we build \textit{user preference representations} and \textit{attribute fusion representations} upon the attribute information in knowledge graphs, which are utilized to enhance \textit{collaborative filtering} (CF) based user and item representations, respectively.
1 code implementation • COLING 2022 • Fei Zhao, Zhen Wu, Siyu Long, Xinyu Dai, ShuJian Huang, Jiajun Chen
Target-oriented multimodal sentiment classification (TMSC) is a new subtask of aspect-based sentiment analysis, which aims to determine the sentiment polarity of the opinion target mentioned in a (sentence, image) pair.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2