Search Results for author: Xiaozhong Liu

Found 37 papers, 16 papers with code

De-Biased Court's View Generation with Causality

no code implementations EMNLP 2020 Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu

Court{'}s view generation is a novel but essential task for legal AI, aiming at improving the interpretability of judgment prediction results and enabling automatic legal document generation.

Text Generation

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis

1 code implementation17 Sep 2021 Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, Xiaozhong Liu

Chatbot is increasingly thriving in different domains, however, because of unexpected discourse complexity and training data sparseness, its potential distrust hatches vital apprehension.

Chatbot Multi-Task Learning

A Neural Conversation Generation Model via Equivalent Shared Memory Investigation

1 code implementation20 Aug 2021 Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao

Nevertheless, few works utilized the knowledge extracted from similar conversations for utterance generation.

Text Generation

RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy

no code implementations ACL 2021 Xiyan Fu, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Changlong Sun, Zhenglu Yang

In the field of dialogue summarization, due to the lack of training data, it is often difficult for supervised summary generation methods to learn vital information from dialogue context with limited data.

Dialogue Generation Sentence Compression

Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-type Usefulness Distribution

no code implementations3 May 2021 Zheng Gao, Chun Guo, Xiaozhong Liu

As the interactions between users and songs naturally construct a complex network, community detection approaches can be applied to reveal users' potential interests on songs by grouping relevant users \& songs to the same community.

Community Detection Recommendation Systems

Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy

no code implementations29 Apr 2021 Yongzhen Wang, Xiaozhong Liu, Katy Börner, Jun Lin, Yingnan Ju, Changlong Sun, Luo Si

Objective: Ubiquitous internet access is reshaping the way we live, but it is accompanied by unprecedented challenges in preventing chronic diseases that are usually planted by long exposure to unhealthy lifestyles.

Medical Diagnosis

Community-based Cyberreading for Information Understanding

no code implementations27 Mar 2021 Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao, Zhi Tang

Although the content in scientific publications is increasingly challenging, it is necessary to investigate another important problem, that of scientific information understanding.

Learning-To-Rank

Chronological Citation Recommendation with Time Preference

no code implementations19 Jan 2021 Shutian Ma, Heng Zhang, Chengzhi Zhang, Xiaozhong Liu

Citation recommendation is an important task to assist scholars in finding candidate literature to cite.

Citation Recommendation

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling

1 code implementation14 Dec 2020 Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu

In a customer service system, dialogue summarization can boost service efficiency by automatically creating summaries for long spoken dialogues in which customers and agents try to address issues about specific topics.

Cross Copy Network for Dialogue Generation

1 code implementation EMNLP 2020 Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao

In the past few years, audiences from different fields witness the achievements of sequence-to-sequence models (e. g., LSTM+attention, Pointer Generator Networks, and Transformer) to enhance dialogue content generation.

Dialogue Generation

Predicting Clinical Trial Results by Implicit Evidence Integration

1 code implementation EMNLP 2020 Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang

In the CTRP framework, a model takes a PICO-formatted clinical trial proposal with its background as input and predicts the result, i. e. how the Intervention group compares with the Comparison group in terms of the measured Outcome in the studied Population.

PICO

Efficient Personalized Community Detection via Genetic Evolution

no code implementations6 Sep 2020 Zheng Gao, Chun Guo, Xiaozhong Liu

Personalized community detection aims to generate communities associated with user need on graphs, which benefits many downstream tasks such as node recommendation and link prediction for users, etc.

Community Detection Link Prediction

Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning

no code implementations6 Sep 2020 Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu

In this paper, our model, Pairwise Cross-graph Community Detection (PCCD), is proposed to cope with the sparse graph problem by involving external graph knowledge to learn user pairwise community closeness instead of detecting direct communities.

Community Detection

Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning

no code implementations ACL 2020 Zhuoren Jiang, Zhe Gao, Yu Duan, Yangyang Kang, Changlong Sun, Qiong Zhang, Xiaozhong Liu

We propose a Semi-supervIsed GeNerative Active Learning (SIGNAL) model to address the imbalance, efficiency, and text camouflage problems of Chinese text spam detection task.

Active Learning Chinese Spam Detection +1

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce

1 code implementation17 May 2020 Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan

We manually collect a new and high-quality paired dataset, where each pair contains an unordered product attribute set in the source language and an informative product description in the target language.

Information Retrieval

Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning

2 code implementations27 Feb 2020 Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang

Multi-role dialogue understanding comprises a wide range of diverse tasks such as question answering, act classification, dialogue summarization etc.

Dialogue Understanding Question Answering +1

Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model

no code implementations3 Jan 2020 Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, Wei Lu

The nonliteral interpretation of a text is hard to be understood by machine models due to its high context-sensitivity and heavy usage of figurative language.

Reading Comprehension

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning

no code implementations IJCNLP 2019 Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang

Customers ask questions and customer service staffs answer their questions, which is the basic service model via multi-turn customer service (CS) dialogues on E-commerce platforms.

Multiple Instance Learning

Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization

no code implementations IJCNLP 2019 Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si

Sexual harassment occurred in a variety of situations, and categorization of the stories and extraction of their key elements will provide great help for the related parties to understand and address sexual harassment.

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

no code implementations12 Jul 2019 Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu

Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising.

Anomaly Detection

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network

no code implementations ACL 2019 Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou

This paper extends the research to interactive reviews and proposes a new research task, namely Aspect Sentiment Classification towards Question-Answering (ASC-QA), for real-world applications.

Classification General Classification +2

Neural Related Work Summarization with a Joint Context-driven Attention Mechanism

1 code implementation EMNLP 2018 Yongzhen Wang, Xiaozhong Liu, Zheng Gao

Conventional solutions to automatic related work summarization rely heavily on human-engineered features.

Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph

1 code implementation31 Dec 2018 Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu

While the volume of scholarly publications has increased at a frenetic pace, accessing and consuming the useful candidate papers, in very large digital libraries, is becoming an essential and challenging task for scholars.

Citation Recommendation Representation Learning

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

1 code implementation7 Sep 2018 Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, Qi Yu, Ying Ding

We propose this method for its added value relative to existing graph analytical methodology, and in the real world context of biomedical knowledge discovery applicability.

Biomedical Information Retrieval Information Retrieval +2

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