Search Results for author: Zhongyu Wei

Found 66 papers, 19 papers with code

基于多质心异质图学习的社交网络用户建模(User Representation Learning based on Multi-centroid Heterogeneous Graph Neural Networks)

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。”

Representation Learning

DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations

1 code implementation8 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.

Text Generation

A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets

1 code implementation19 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.

Dialogue Act Classification Dialogue Understanding +3

Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering

no code implementations17 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.

Adversarial Attack Multi-hop Question Answering +1

Curriculum Learning for Vision-and-Language Navigation

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.

Vision and Language Navigation

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval

1 code implementation5 Nov 2021 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.

SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System

no code implementations1 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.

Recommendation Systems Representation Learning +1

Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval

no code implementations12 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.

Representation Learning

Math Word Problem Solving with Explicit Numerical Values

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.

Math Word Problem Solving

TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning

no code implementations21 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.

Image Captioning Representation Learning

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues

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.

Natural Language Inference Visual Commonsense Reasoning

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure

no code implementations17 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.

Modeling Evolution of Message Interaction for Rumor Resolution

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.

Time Series

An Enhanced Knowledge Injection Model for Commonsense Generation

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.

Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization

no code implementations7 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.

Abstractive Text Summarization Machine Translation +1

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

no 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.

Natural Language Processing Semantic Composition

Discrete Argument Representation Learning for Interactive Argument Pair Identification

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.

Representation Learning

A Lexicon-Based Graph Neural Network for Chinese NER

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.

Chinese Named Entity Recognition named-entity-recognition +1

Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template

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.

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph

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.

Natural Language Processing

Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base

no code implementations28 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.

Information Retrieval Question Answering +1

Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning

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.

Decision Making Image Captioning

Few-shot Classification on Graphs with Structural Regularized GCNs

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.

Classification Few-Shot Learning +2

A Joint Model of Conversational Discourse Latent Topics on Microblogs

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.

Topic Models

Incorporating Topic Aspects for Online Comment Convincingness Evaluation

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.

Argument Mining

A Joint Model of Conversational Discourse and Latent Topics on Microblogs

no code implementations11 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.

Topic Models

A Joint Framework for Argumentative Text Analysis Incorporating Domain Knowledge

no code implementations19 Jan 2017 Zhongyu Wei, Chen Li, Yang Liu

For argumentation mining, there are several sub-tasks such as argumentation component type classification, relation classification.

General Classification Relation Classification

Using Relevant Public Posts to Enhance News Article Summarization

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.

Sentence Compression

Quantising Opinions for Political Tweets Analysis

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.

Sentiment Analysis

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