no code implementations • SemEval (NAACL) 2022 • Qi Zhang, Jie zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
The task aims to extract the structured sentiment information (e. g., holder, target, expression and sentiment polarity) in a text.
no code implementations • CCL 2021 • Shangyi Ning, Guanying Li, Qin Chen, Zengfeng Huang, Baohua Zhou, Zhongyu Wei
“用户建模已经引起了学术界和工业界的广泛关注。现有的方法大多侧重于将用户间的人际关系融入社区, 而用户生成的内容(如帖子)却没有得到很好的研究。在本文中, 我们通过实际舆情传播相关的分析表明, 在舆情传播过程中对用户属性进行研究的重要作用, 并且提出了用户资料数据的筛选方法。同时, 我们提出了一种通过异构多质心图池为用户捕获更多不同社区特征的建模。我们首先构造了一个由用户和关键字组成的异质图, 并在其上采用了一个异质图神经网络。为了方便用户建模的图表示, 提出了一种多质心图池化机制, 将多质心的集群特征融入到表示学习中。在三个基准数据集上的大量实验表明了该方法的有效性。”
no code implementations • 9 May 2024 • Xuanwen Ding, Jie zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He
Few works propose continual learning tasks for ABSA, which aim to learn the target domain's ability while maintaining the history domains' abilities.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
no code implementations • 27 Mar 2024 • Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie zhou, Liang He
Retrieval-Augmented Generation (RAG) aims to generate more reliable and accurate responses, by augmenting large language models (LLMs) with the external vast and dynamic knowledge.
no code implementations • 17 Mar 2024 • Baiyan Zhang, Qin Chen, Jie zhou, Jian Jin, Liang He
In addition, we generate the rationales to explain why these events have causal relations.
no code implementations • 12 Mar 2024 • Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie zhou, Aimin Zhou, Liang He
Depression-diagnosis-oriented chat aims to guide patients in self-expression to collect key symptoms for depression detection.
1 code implementation • 1 Mar 2024 • Kedi Chen, Jie zhou, Qin Chen, Shunyu Liu, Liang He
Information extraction (IE) aims to extract complex structured information from the text.
no code implementations • 1 Mar 2024 • Kedi Chen, Qin Chen, Jie zhou, Yishen He, Liang He
Since large language models (LLMs) achieve significant success in recent years, the hallucination issue remains a challenge, numerous benchmarks are proposed to detect the hallucination.
no code implementations • 28 Feb 2024 • Zhenxiao Cheng, Jie zhou, Wen Wu, Qin Chen, Liang He
To address this, we propose the Information Bottleneck-based Gradient (\texttt{IBG}) explanation framework for ABSA.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
1 code implementation • 23 Feb 2024 • Shunyu Liu, Jie zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
Aspect-Based Sentiment Analysis (ABSA) stands as a crucial task in predicting the sentiment polarity associated with identified aspects within text.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 22 Feb 2024 • Siyin Wang, Jie zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
Domain adaption has been widely adapted for cross-domain sentiment analysis to transfer knowledge from the source domain to the target domain.
1 code implementation • 19 Dec 2023 • Lang Yu, Qin Chen, Jie zhou, Liang He
Large language models (LLMs) have shown great success in various Natural Language Processing (NLP) tasks, whist they still need updates after deployment to fix errors or keep pace with the changing knowledge in the world.
no code implementations • 12 Dec 2023 • Wentao Liu, Hanglei Hu, Jie zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He
In recent years, there has been remarkable progress in leveraging Language Models (LMs), encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models (LLMs), within the domain of mathematics.
no code implementations • 17 Aug 2023 • Qin Chen, Jinfeng Ge, Huaqing Xie, Xingcheng Xu, Yanqing Yang
We then aggregate occupation exposure to the industry level to obtain industry exposure scores.
1 code implementation • 8 Aug 2023 • Jiaju Lin, Haoran Zhao, Aochi Zhang, Yiting Wu, Huqiuyue Ping, Qin Chen
With ChatGPT-like large language models (LLM) prevailing in the community, how to evaluate the ability of LLMs is an open question.
1 code implementation • 5 Aug 2023 • Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie zhou, Liang He, Xipeng Qiu
Currently, EduChat is available online as an open-source project, with its code, data, and model parameters available on platforms (e. g., GitHub https://github. com/icalk-nlp/EduChat, Hugging Face https://huggingface. co/ecnu-icalk ).
1 code implementation • CVPR 2023 • Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He
Notably, LoGoNet ranks 1st on Waymo 3D object detection leaderboard and obtains 81. 02 mAPH (L2) detection performance.
no code implementations • 21 Feb 2023 • Zhenxiao Cheng, Jie zhou, Wen Wu, Qin Chen, Liang He
Gradient-based explanation methods play an important role in the field of interpreting complex deep neural networks for NLP models.
no code implementations • 4 Oct 2022 • Jiaju Lin, Jie zhou, Qin Chen
Prompt-based methods have become increasingly popular among information extraction tasks, especially in low-data scenarios.
no code implementations • COLING 2022 • Jie zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
Event argument extraction (EAE) aims to extract arguments with given roles from texts, which have been widely studied in natural language processing.
1 code implementation • 31 May 2022 • Qi Zhang, Jie zhou, Qin Chen, Qinchun Bai, Liang He
Previous studies about event-level sentiment analysis (SA) usually model the event as a topic, a category or target terms, while the structured arguments (e. g., subject, object, time and location) that have potential effects on the sentiment are not well studied.
no code implementations • 31 May 2022 • Qi Zhang, Jie zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
Notably, we propose a Knowledge-Enhanced Adversarial Model (\texttt{KEAM}) with both implicit distributed and explicit structural knowledge to enhance the cross-lingual transfer.
1 code implementation • 1 May 2022 • Jiaju Lin, Qin Chen, Jie zhou, Jian Jin, Liang He
Implicit event argument extraction (EAE) aims to identify arguments that could scatter over the document.
no code implementations • 19 Mar 2022 • Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang
These experiments show the excellent expressive power of MWGNN in dealing with graph data with various distributions.
no code implementations • 17 Dec 2021 • Jiayu Ding, Siyuan Wang, Qin Chen, Zhongyu Wei
The results demonstrate significant performance reduction on both answer and supporting facts prediction, verifying the effectiveness of our reasoning chain based attack method for multi-hop reasoning models and the vulnerability of them.
no code implementations • 11 Sep 2021 • Jiaju Lin, Qin Chen
Eliciting knowledge from pre-trained language models via prompt-based learning has shown great potential in many natural language processing tasks.
no code implementations • 4 Aug 2021 • Xingjiao Wu, Tianlong Ma, Xin Li, Qin Chen, Liang He
The HITL select key samples by using confidence.
no code implementations • SEMEVAL 2021 • Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He
The purpose of the task was to extract triples from a paper in the Nature Language Processing field for constructing an Open Research Knowledge Graph.
no code implementations • 22 Dec 2020 • Shuijin Chen, Zhefeng Lou, Yuxing Zhou, Qin Chen, Binjie Xu, Jianhua Du, Jinhu Yang, Haangdong Wang, Minghu Fang
We performed calculations of the electronic band structure and the Fermi surface as well as measured the longitudinal resistivity $\rho_{xx}(T, H)$, Hall resistivity $\rho_{xy}(T, H)$, and magnetic susceptibility as a function of temperature and various magnetic fields for VAs$_2$ with a monoclinic crystal structure.
Strongly Correlated Electrons
no code implementations • Findings of the Association for Computational Linguistics 2020 • Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang
Terms contained in Gene Ontology (GO) have been widely used in biology and bio-medicine.
1 code implementation • NeurIPS 2020 • Yongqing Liang, Xin Li, Navid Jafari, Qin Chen
We also design a new confidence loss and a fine-grained segmentation module to enhance the segmentation accuracy in uncertain regions.
Ranked #2 on Semi-Supervised Video Object Segmentation on Long Video Dataset (3X) (using extra training data)
1 code implementation • EMNLP 2020 • Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
Knowledge of a disease includes information of various aspects of the disease, such as signs and symptoms, diagnosis and treatment.
no code implementations • IJCNLP 2019 • Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen
In this paper, we first construct a dialogue symptom diagnosis dataset based on an online medical forum with a large amount of dialogues between patients and doctors.