1 code implementation • COLING 2022 • Yinzi Li, Wei Chen, Zhongyu Wei, Yujun Huang, Chujun Wang, Siyuan Wang, Qi Zhang, Xuanjing Huang, Libo Wu
Existing research for argument representation learning mainly treats tokens in the sentence equally and ignores the implied structure information of argumentative context.
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。”
1 code implementation • COLING 2022 • Xinyi Mou, Zhongyu Wei, Changjian Jiang, Jiajie Peng
Frame detection aims to automatically analyze framing strategy.
1 code implementation • COLING 2022 • Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang
Existing works on rumor resolution have shown great potential in recognizing word appearance and user participation.
1 code implementation • EMNLP 2020 • Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang
Human evaluation also proves that our model is able to generate relevant and informative questions.
1 code implementation • Findings (EMNLP) 2021 • Qinzhuo Wu, Qi Zhang, Zhongyu Wei
Specifically, an edge-enhanced hierarchical graph encoder is used to incorporate edge label information.
1 code implementation • 13 Nov 2023 • Hanjia Lyu, Jinfa Huang, Daoan Zhang, Yongsheng Yu, Xinyi Mou, Jinsheng Pan, Zhengyuan Yang, Zhongyu Wei, Jiebo Luo
Our investigation begins with a preliminary quantitative analysis for each task using existing benchmark datasets, followed by a careful review of the results and a selection of qualitative samples that illustrate GPT-4V's potential in understanding multimodal social media content.
1 code implementation • 23 Oct 2023 • Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, Zhongyu Wei
We propose Multiple Experts Fine-tuning Framework to build a financial large language model (LLM), DISC-FinLLM.
1 code implementation • 4 Oct 2023 • Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Xuanjing Huang, Zhongyu Wei
Recent years have witnessed remarkable progress in the development of large vision-language models (LVLMs).
2 code implementations • 20 Sep 2023 • Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei
We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services.
1 code implementation • 28 Aug 2023 • Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, Zhongyu Wei
We propose DISC-MedLLM, a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare services.
no code implementations • 16 Jul 2023 • Ruipu Luo, Jiwen Zhang, Zhongyu Wei
Vision language decision making (VLDM) is a challenging multimodal task.
1 code implementation • 27 Jun 2023 • Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan
Adversarial training is one of the best-performing methods in improving the robustness of deep language models.
1 code implementation • 12 Jun 2023 • Ruipu Luo, Ziwang Zhao, Min Yang, Junwei DOng, Da Li, Pengcheng Lu, Tao Wang, Linmei Hu, Minghui Qiu, Zhongyu Wei
Large language models (LLMs), with their remarkable conversational capabilities, have demonstrated impressive performance across various applications and have emerged as formidable AI assistants.
1 code implementation • 8 Jun 2023 • Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yunwen Chen, Xiang Gao, Xuanjing Huang
Inspired by text adversarial attacks, we adaptively apply small but critical perturbations to original training instances and thus synthesizing negative instances that are more likely to be mistaken by the model as known relations.
1 code implementation • 8 Jun 2023 • Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, Mingming Sun
However, general matching methods lack explicit modeling of the above matching pattern.
no code implementations • 8 Jun 2023 • Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun
The key to the setting is selecting which instances to label.
no code implementations • 26 May 2023 • Wei Chen, Shiqi Wei, Zhongyu Wei, Xuanjing Huang
Symptom diagnosis in medical conversations aims to correctly extract both symptom entities and their status from the doctor-patient dialogue.
1 code implementation • 23 May 2023 • Siyuan Wang, Zhongyu Wei, Meng Han, Zhihao Fan, Haijun Shan, Qi Zhang, Xuanjing Huang
The results demonstrate the effectiveness of our method on logical reasoning over KGs in both inductive and transductive settings.
1 code implementation • NeurIPS 2023 • Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
Diffusion models have gained significant attention in the realm of image generation due to their exceptional performance.
no code implementations • 21 Jan 2023 • Siyuan Wang, Zhongyu Wei, Jiarong Xu, Taishan Li, Zhihao Fan
Recent pre-trained language models (PLMs) equipped with foundation reasoning skills have shown remarkable performance on downstream complex tasks.
1 code implementation • COLING 2022 • Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang
In this paper, we propose an interpretable stepwise reasoning framework to incorporate both single-hop supporting sentence identification and single-hop question generation at each intermediate step, and utilize the inference of the current hop for the next until reasoning out the final result.
no code implementations • 11 Jun 2022 • Zhihao Fan, Zhongyu Wei, Jingjing Chen, Siyuan Wang, Zejun Li, Jiarong Xu, Xuanjing Huang
These two steps are iteratively performed in our framework for continuous learning.
1 code implementation • 8 May 2022 • Wei Chen, Cheng Zhong, Jiajie Peng, Zhongyu Wei
Diagnosis-oriented dialogue system queries the patient's health condition and makes predictions about possible diseases through continuous interaction with the patient.
1 code implementation • ACL 2022 • Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan
Dialog response generation in open domain is an important research topic where the main challenge is to generate relevant and diverse responses.
1 code implementation • 19 Apr 2022 • Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience.
1 code implementation • 29 Jan 2022 • Zejun Li, Zhihao Fan, Huaixiao Tou, Jingjing Chen, Zhongyu Wei, Xuanjing Huang
In MVPTR, we follow the nested structure of both modalities to introduce concepts as high-level semantics.
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 • NeurIPS 2021 • Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng
Vision-and-Language Navigation (VLN) is a task where an agent navigates in an embodied indoor environment under human instructions.
1 code implementation • Findings (NAACL) 2022 • Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Jianqing Fan
We propose our TAiloring neGative Sentences with Discrimination and Correction (TAGS-DC) to generate synthetic sentences automatically as negative samples.
1 code implementation • EMNLP 2021 • Zhengyan Li, Yicheng Zou, Chong Zhang, Qi Zhang, Zhongyu Wei
Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews.
no code implementations • 1 Oct 2021 • Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang
In this work, we propose a novel and general self-adaptive module, the Self-adaptive Attention Module (SAM), which adjusts the selection bias by capturing contextual information based on its representation.
1 code implementation • ACL 2022 • Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan
We study the problem of coarse-grained response selection in retrieval-based dialogue systems.
no code implementations • 12 Sep 2021 • Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
Existing research for image text retrieval mainly relies on sentence-level supervision to distinguish matched and mismatched sentences for a query image.
1 code implementation • EMNLP 2021 • Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, Zhongyu Wei
In our encoder, we leverage two gates: entity and relation gate, to segment neurons into two task partitions and one shared partition.
Ranked #1 on
Relation Extraction
on ADE Corpus
Joint Entity and Relation Extraction
Representation Learning
no code implementations • 19 Aug 2021 • Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wan, Xuanjing Huang
Existing system dealing with online complaint provides a final decision without explanations.
1 code implementation • 2 Aug 2021 • Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan
Complex reasoning aims to draw a correct inference based on complex rules.
1 code implementation • ACL 2021 • Qinzhuo Wu, Qi Zhang, Zhongyu Wei, Xuanjing Huang
In recent years, math word problem solving has received considerable attention and achieved promising results, but previous methods rarely take numerical values into consideration.
no code implementations • ACL 2021 • Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang
In addition, we propose a novel task, namely hashtag usage prediction to model the ideology of legislators on Twitter.
no code implementations • 21 Jun 2021 • Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang
Considering that theme concepts can be learned from both images and captions, we propose two settings for their representations learning based on TTN.
no code implementations • ACL 2022 • Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Weidong Zhan, Sujian Li, Zhongyu Wei, Tianyu Liu, Zuifang Sui
It is a common practice for recent works in vision language cross-modal reasoning to adopt a binary or multi-choice classification formulation taking as input a set of source image(s) and textual query.
2 code implementations • Findings (ACL) 2022 • Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan
Logical reasoning of text requires understanding critical logical information in the text and performing inference over them.
Ranked #7 on
Reading Comprehension
on ReClor
no code implementations • 17 Apr 2021 • Lu Ji, Jing Li, Zhongyu Wei, Qi Zhang, Xuanjing Huang
Numerous online conversations are produced on a daily basis, resulting in a pressing need to conversation understanding.
1 code implementation • NAACL 2021 • Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
We therefore introduce a new layer named dynamic mask attention network (DMAN) with a learnable mask matrix which is able to model localness adaptively.
Ranked #11 on
Machine Translation
on WMT2014 English-German
no code implementations • 21 Mar 2021 • Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang
In this paper, we focus on the problem of unsupervised image-sentence matching.
1 code implementation • ACL 2021 • Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang
To guarantee user acceptability, all the text transformations are linguistically based, and we provide a human evaluation for each one.
no code implementations • COLING 2020 • Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang
Commonsense generation aims at generating plausible everyday scenario description based on a set of provided concepts.
no code implementations • COLING 2020 • Lei Chen, Zhongyu Wei, Jing Li, Baohua Zhou, Qi Zhang, Xuanjing Huang
Previous work for rumor resolution concentrates on exploiting time-series characteristics or modeling topology structure separately.
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.
no code implementations • EMNLP 2020 • Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou
We study the detection of propagandistic text fragments in news articles.
4 code implementations • 29 Apr 2020 • Cheng Zhong, Kangenbei Liao, Wei Chen, Qianlong Liu, Baolin Peng, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
Existing approaches usually employ a flat policy structure that treat all symptoms and diseases equally for action making.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
no code implementations • 7 Apr 2020 • Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam
Different from neural machine translation, in the task of text summarization, salience estimation for words, phrases or sentences is a critical component, since the output summary is a distillation of the input text.
no code implementations • The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 • Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, Xuanjing Huang
In particular, on the within-image level, we employ a Graph Convolution Network (GCN) to enrich local fine-grained region representations of objects on scene graphs.
Ranked #7 on
Visual Storytelling
on VIST
2 code implementations • Findings (ACL) 2021 • Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu ji, Guihong Cao, Daxin Jiang, Ming Zhou
We study the problem of injecting knowledge into large pre-trained models like BERT and RoBERTa.
Ranked #1 on
Entity Typing
on Open Entity
1 code implementation • ICLR 2020 • Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei LI
We propose the variational template machine (VTM), a novel method to generate text descriptions from data tables.
no code implementations • COLING 2020 • Ruize Wang, Zhongyu Wei, Ying Cheng, Piji Li, Haijun Shan, Ji Zhang, Qi Zhang, Xuanjing Huang
Visual storytelling aims to generate a narrative paragraph from a sequence of images automatically.
Ranked #9 on
Visual Storytelling
on VIST
2 code implementations • ICLR 2020 • Xisen Jin, Zhongyu Wei, Junyi Du, xiangyang xue, Xiang Ren
Human and metrics evaluation on both LSTM models and BERT Transformer models on multiple datasets show that our algorithms outperform prior hierarchical explanation algorithms.
1 code implementation • NAACL 2021 • Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang
In this paper, we focus on extracting interactive argument pairs from two posts with opposite stances to a certain topic.
no code implementations • WS 2019 • Yunfan Gu, Yang Yuqiao, Zhongyu Wei
Question paraphrasing aims to restate a given question with different expressions but keep the original meaning.
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.
no code implementations • IJCNLP 2019 • Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang
Recurrent neural networks (RNN) used for Chinese named entity recognition (NER) that sequentially track character and word information have achieved great success.
Ranked #13 on
Chinese Named Entity Recognition
on OntoNotes 4
Chinese Named Entity Recognition
named-entity-recognition
+2
no code implementations • 28 Oct 2019 • Yiying Yang, Xiahui He, Kaijie Zhou, Zhongyu Wei
For the task of open domain Knowledge Based Question Answering in CCKS2019, we propose a method combining information retrieval and semantic parsing.
1 code implementation • ACL 2019 • Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang
Existing research usually employs the architecture of CNN-RNN that views the generation as a sequential decision-making process and the entire dataset vocabulary is used as decoding space.
no code implementations • ICLR 2019 • Shengzhong Zhang, Ziang Zhou, Zengfeng Huang, Zhongyu Wei
We consider the fundamental problem of semi-supervised node classification in attributed graphs with a focus on \emph{few-shot} learning.
no code implementations • CL 2018 • Jing Li, Yan Song, Zhongyu Wei, Kam-Fai Wong
To address this issue, we organize microblog messages as conversation trees based on their reposting and replying relations, and propose an unsupervised model that jointly learns word distributions to represent: (1) different roles of conversational discourse, and (2) various latent topics in reflecting content information.
no code implementations • WS 2018 • Yunfan Gu, Zhongyu Wei, Maoran Xu, Hao Fu, Yang Liu, Xuanjing Huang
In this paper, we propose to incorporate topic aspects information for online comments convincingness evaluation.
no code implementations • EMNLP 2018 • Yucheng Wang, Zhongyu Wei, Yaqian Zhou, Xuanjing Huang
Automatic essay scoring (AES) is the task of assigning grades to essays without human interference.
no code implementations • 11 Sep 2018 • Jing Li, Yan Song, Zhongyu Wei, Kam-Fai Wong
To address this issue, we organize microblog messages as conversation trees based on their reposting and replying relations, and propose an unsupervised model that jointly learns word distributions to represent: 1) different roles of conversational discourse, 2) various latent topics in reflecting content information.
1 code implementation • COLING 2018 • Lu Ji, Zhongyu Wei, Xiangkun Hu, Yang Liu, Qi Zhang, Xuanjing Huang
In this paper, we investigate the issue of persuasiveness evaluation for argumentative comments.
no code implementations • COLING 2018 • Zhihao Fan, Zhongyu Wei, Siyuan Wang, Yang Liu, Xuanjing Huang
Visual Question Generation (VQG) aims to ask natural questions about an image automatically.
no code implementations • ACL 2018 • Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-Fai Wong, Xiangying Dai
In this paper, we make a move to build a dialogue system for automatic diagnosis.
no code implementations • 19 Jan 2017 • Zhongyu Wei, Chen Li, Yang Liu
For argumentation mining, there are several sub-tasks such as argumentation component type classification, relation classification.
no code implementations • COLING 2016 • Chen Li, Zhongyu Wei, Yang Liu, Yang Jin, Fei Huang
A news article summary usually consists of 2-3 key sentences that reflect the gist of that news article.
no code implementations • LREC 2014 • Lanjun Zhou, Binyang Li, Zhongyu Wei, Kam-Fai Wong
The lack of open discourse corpus for Chinese brings limitations for many natural language processing tasks.
no code implementations • LREC 2012 • Yulan He, Hassan Saif, Zhongyu Wei, Kam-Fai Wong
There have been increasing interests in recent years in analyzing tweet messages relevant to political events so as to understand public opinions towards certain political issues.