Lizhen Qu

According to our database, Lizhen Qu authored at least 93 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues.

Shilin Qu, Weiqing Wang, Xin Zhou, Haolan Zhan, Zhuang Li, Lizhen Qu, Linhao Luo, Yuan-Fang Li, Gholamreza Haffari

CoRR, 2024

Can we only use guideline instead of shot in prompt?

Jiaxiang Chen, Song Wang, Zhucong Li, Wayne Xiong, Lizhen Qu, Zenglin Xu, Yuan Qi

CoRR, 2024

NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions.

Zhixi Cai, Cristian Rojas Cardenas, Kevin Leo, Chenyuan Zhang, Kal Backman, Hanbing Li, Boying Li, Mahsa Ghorbanali, Stavya Datta, Lizhen Qu, Julian Gutierrez Santiago, Alexey Ignatiev, Yuan-Fang Li, Mor Vered, Peter J. Stuckey, Maria Garcia de la Banda, Hamid Rezatofighi

CoRR, 2024

When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech.

Samuel Reinders, Matthew Butler, Ingrid Zukerman, Bongshin Lee, Lizhen Qu, Kim Marriott

CoRR, 2024

From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks?

Tao Feng, Lizhen Qu, Niket Tandon, Zhuang Li, Xiaoxi Kang, Gholamreza Haffari

CoRR, 2024

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights.

Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari

CoRR, 2024

CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems.

Tao Feng, Lizhen Qu, Xiaoxi Kang, Gholamreza Haffari

CoRR, 2024

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction.

Yuncheng Hua, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Chris Bain, Richard Bassed, Gholamreza Haffari

CoRR, 2024

Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology.

Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon, Zhuang Li, Adnan Trakic

CoRR, 2024

SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking.

Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari

CoRR, 2024

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari

CoRR, 2024

NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human.

Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari

CoRR, 2024

What Can Natural Language Processing Do for Peer Review?

Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych

CoRR, 2024

FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning.

Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu

CoRR, 2024

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues.

Yuncheng Hua, Lizhen Qu, Gholamreza Haffari

CoRR, 2024

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations.

Yuncheng Hua, Zhuang Li, Linhao Luo, Kadek Ananta Satriadi, Tao Feng, Haolan Zhan, Lizhen Qu, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari

CoRR, 2024

Adapting Large Language Models for Document-Level Machine Translation.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, Gholamreza Haffari

CoRR, 2024

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations.

Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Ingrid Zukerman, Lay-Ki Soon, Zhaleh Semnani-Azad, Gholamreza Haffari

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis.

Xianbing Zhao, Lizhen Qu, Tao Feng, Jianfei Cai, Buzhou Tang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation.

Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights.

Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues.

Yuncheng Hua, Lizhen Qu, Reza Haf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction.

Yuncheng Hua, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Christopher Bain, Richard Bassed, Reza Haf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Let's Negotiate! A Survey of Negotiation Dialogue Systems.

Haolan Zhan, Yufei Wang, Zhuang Li, Tao Feng, Yuncheng Hua, Suraj Sharma, Lizhen Qu, Zhaleh Semnani-Azad, Ingrid Zukerman, Reza Haffari

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.

Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Generative Region-Language Pretraining for Open-Ended Object Detection.

Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan, Jianfei Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.

Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models.

Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, Yuncheng Hua, Gholamreza Haffari

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery.

Tao Feng, Lizhen Qu, Gholamreza Haffari

Trans. Assoc. Comput. Linguistics, 2023

Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs.

Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman, Gholamreza Haffari

CoRR, 2023

SocialDial: A Benchmark for Socially-Aware Dialogue Systems.

Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning Object-Language Alignments for Open-Vocabulary Object Detection.

Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding.

Bhanu Prakash Voutharoja, Lizhen Qu, Fatemeh Shiri

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?

Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon, Adnan Trakic, Terry Yue Zhuo, Patrick Charles Emerton, Genevieve Grant

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices.

Shuo Huang, Lizhen Qu, Xingliang Yuan, Chunyang Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce.

Tongxin Hu, Zhuang Li, Xin Jin, Lizhen Qu, Xin Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.

Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation.

Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.

Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP.

Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning.

Zhuang Li, Lizhen Qu, Philip R. Cohen, Raj Tumuluri, Gholamreza Haffari

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing.

Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation.

Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman, Gholamreza Haffari

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022

CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation.

Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang

IEEE Trans. Dependable Secur. Comput., 2022

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.

Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Zenglin Xu

CoRR, 2022

Let's Negotiate! A Survey of Negotiation Dialogue Systems.

Haolan Zhan, Yufei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Gholamreza Haffari

CoRR, 2022

Federated Model Decomposition with Private Vocabulary for Text Classification.

Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation.

Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation.

Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan

Proceedings of the Computer Vision - ECCV 2022, 2022

Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs.

Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning.

Suyu Ma, Zhenchang Xing, Chunyang Chen, Cheng Chen, Lizhen Qu, Guoqiang Li

IEEE Trans. Software Eng., 2021

Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs.

Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari

CoRR, 2021

Privacy Monitoring Service for Conversations.

Qiongkai Xu, Chenchen Xu, Lizhen Qu

Proceedings of the WSDM '21, 2021

Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers.

Zhuang Li, Lizhen Qu, Gholamreza Haffari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model.

Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Few-Shot Semantic Parsing for New Predicates.

Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On Robustness of Neural Semantic Parsers.

Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Neural-Symbolic Commonsense Reasoner with Relation Predictors.

Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Causal Relationships Between Emotions and Dialog Acts.

Shuyi Cao, Lizhen Qu, Leimin Tian

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

Personal Information Leakage Detection in Conversations.

Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering.

Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Context Dependent Semantic Parsing: A Survey.

Zhuang Li, Lizhen Qu, Gholamreza Haffari

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation.

Yolande A. A. Strengers, Lizhen Qu, Qiongkai Xu, Jarrod Knibbe

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Privacy-Aware Text Rewriting.

Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui

Proceedings of the 12th International Conference on Natural Language Generation, 2019

Deep Domain Adaptation for Vulnerable Code Function Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung

Proceedings of the International Joint Conference on Neural Networks, 2019

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.

Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu

Proceedings of the 7th International Conference on Learning Representations, 2019

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation.

Qiongkai Xu, Chenchen Xu, Lizhen Qu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Machine Reading Comprehension: Matching and Orders.

Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

D-PAGE: Diverse Paraphrase Generation.

Qiongkai Xu, Juyan Zhang, Lizhen Qu, Lexing Xie, Richard Nock

CoRR, 2018

2017

Collective Vertex Classification Using Recursive Neural Network.

Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu

CoRR, 2017

f-GANs in an Information Geometric Nutshell.

Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Automatic Generation of Grounded Visual Questions.

Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, Jiawan Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach.

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Attentive Graph-based Recursive Neural Network for Collective Vertex Classification.

Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Demographic Inference on Twitter using Recursive Neural Networks.

Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Cécile Paris

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Making Neural Networks Robust to Label Noise: a Loss Correction Approach.

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu

CoRR, 2016

STransE: a novel embedding model of entities and relationships in knowledge bases.

Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson

Proceedings of the NAACL HLT 2016, 2016

Named Entity Recognition for Novel Types by Transfer Learning.

Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neighborhood Mixture Model for Knowledge Base Completion.

Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Pairwise FastText Classifier for Entity Disambiguation.

Cheng Yu, Bing Chu, Rohit Ram, James Aichinger, Lizhen Qu, Hanna Suominen

Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models.

Zhuang Li, Lizhen Qu, Qiongkai Xu, Mark Johnson

Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

2015

Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks.

Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, Timothy Baldwin

CoRR, 2015

Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks.

Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, Timothy Baldwin

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014

Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM.

Lizhen Qu, Yi Zhang, Rui Wang, Lili Jiang, Rainer Gemulla, Gerhard Weikum

Trans. Assoc. Comput. Linguistics, 2014

Estimating Maximally Probable Constrained Relations by Mathematical Programming.

Lizhen Qu, Bjoern Andres

CoRR, 2014

2013

Sentiment analysis with limited training data.

Lizhen Qu

PhD thesis, 2013

2012

A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts.

Lizhen Qu, Rainer Gemulla, Gerhard Weikum

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Harvesting facts from textual web sources by constrained label propagation.

Yafang Wang, Bin Yang, Lizhen Qu, Marc Spaniol, Gerhard Weikum

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia.

Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol, Gerhard Weikum

Proceedings of the EDBT 2010, 2010

The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns.

Lizhen Qu, Georgiana Ifrim, Gerhard Weikum

Proceedings of the COLING 2010, 2010

2008

Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge.

Lizhen Qu, Cigdem Toprak, Niklas Jakob, Iryna Gurevych

Proceedings of the 7th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2008

Using tag semantic network for keyphrase extraction in blogs.

Lizhen Qu, Christof Müller, Iryna Gurevych

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008