Xiaodan Zhu - RankMe

239 papers A* 22A 6B 10C 1Misc 3Journal 104Unranked 85

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data. EACL (Volume 1: Long Papers) Paul Quinlan, Qingguo Li, Xiaodan Zhu
2026	—	`conf`	Entropy-Gated Branching for Efficient Test-Time Reasoning. EACL (Volume 1: Long Papers) Xianzhi Li, Ethan Callanan, Abdellah Ghassel, Xiaodan Zhu
2026	A*	`conf`	SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling. AAAI Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych
2025	—	`conf`	Aligning Language Models Using Multi-Objective Deep Reinforcement Learning. Canadian AI Yage Zhang, Xiaodan Zhu, Yifeng Li
2025	J	`jnl`	CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment. CoRR Radin Shayanfar, Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2025	J	`jnl`	Entropy-Aware Branching for Improved Mathematical Reasoning. CoRR Xianzhi Li, Ethan Callanan, Xiaodan Zhu, Mathieu Sibue, Antony Papadimitriou, Mahmoud Mahfouz, Zhiqiang Ma, Xiaomo Liu
2025	A*	`conf`	Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. AAAI Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
2025	—	`conf`	Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs. ACL (1) Haritz Puerto, Tilek Chubakov, Xiaodan Zhu, Harish Tayyar Madabushi, Iryna Gurevych
2025	J	`jnl`	On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks. CoRR Stephen Obadinma, Xiaodan Zhu
2025	A*	`conf`	Preemptive Detection and Correction of Misaligned Actions in LLM Agents. EMNLP Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
2025	J	`jnl`	RedDebate: Safer Responses through Multi-Agent Red Teaming Debates. CoRR Ali Asad, Stephen Obadinma, Radin Shayanfar, Xiaodan Zhu
2025	—	`conf`	Robust Utility-Preserving Text Anonymization Based on Large Language Models. ACL (1) Tianyu Yang, Xiaodan Zhu, Iryna Gurevych
2025	J	`jnl`	SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling. CoRR Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych
2025	J	`jnl`	Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. Frontiers Artif. Intell. Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do
2025	J	`jnl`	The FAIIR conversational AI agent assistant for youth mental health service provision. npj Digit. Medicine Stephen Obadinma, Alia Lachana, Maia Leigh Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi
2025	J	`jnl`	Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback. CoRR Chu Fei Luo, Samuel Dahan, Xiaodan Zhu
2025	J	`jnl`	Understanding Large Language Models' Ability on Interdisciplinary Research. CoRR Yuanhao Shen, Daniel Xavier de Sousa, Ricardo Marçal de Andrade Nascimento, Ali Asad, Hongyu Guo, Xiaodan Zhu
2024	—	`conf`	Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection. CCECE Maede Ashofteh Barabadi, Wai-Yip Chan, Xiaodan Zhu, Amber L. Simpson, Richard K. G. Do
2024	—	`conf`	Are Large Language Models General-Purpose Solvers for Dialogue Breakdown Detection? An Empirical Investigation. CCECE Abdellah Ghassel, Xiaodan Zhu, Stephen W. Thomas
2024	J	`jnl`	BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. CoRR Chu Fei Luo, Ahmad Ghawanmeh, Xiaodan Zhu, Faiza Khan Khattak
2024	J	`jnl`	Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration. CoRR Stephen Obadinma, Xiaodan Zhu, Hongyu Guo
2024	J	`jnl`	Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence. Trans. Mach. Learn. Res. Stephen Obadinma, Xiaodan Zhu, Hongyu Guo
2024	—	`conf`	Can Machine Unlearning Reduce Social Bias in Language Models? EMNLP (Industry Track) Omkar Dige, Diljot Arneja, Tsz Fung Yau, Qixuan Zhang, Mohammad Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak
2024	A*	`conf`	Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. EMNLP Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych
2024	J	`jnl`	Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. CoRR Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych
2024	—	`conf`	DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs. ACL (Findings) Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
2024	J	`jnl`	DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs. CoRR Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
2024	A*	`conf`	Ensemble Distillation for Unsupervised Constituency Parsing. ICLR Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou
2024	J	`jnl`	Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. CoRR Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
2024	J	`jnl`	Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. CoRR Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu
2024	J	`jnl`	Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice. CoRR Jonathan Li, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2024	A*	`conf`	Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. EMNLP Zi'ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu
2024	J	`jnl`	Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. CoRR Zi'ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu
2024	—	`conf`	Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation. EMNLP (Findings) Xianzhi Li, Ran Zmigrod, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu
2024	J	`jnl`	Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation. CoRR Xianzhi Li, Ran Zmigrod, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu
2024	J	`jnl`	Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models. CoRR Haritz Puerto, Tilek Chubakov, Xiaodan Zhu, Harish Tayyar Madabushi, Iryna Gurevych
2024	J	`jnl`	HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation. CoRR Yihao Fang, Stephen W. Thomas, Xiaodan Zhu
2024	J	`jnl`	InferAct: Inferring Safe Actions for LLM-Based Agents Through Preemptive Evaluation and Human Feedback. CoRR Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
2024	—	`conf`	Large Language Model Translation of Indigenous Languages. CCECE Cameron Bishop, Xiaodan Zhu, Karen Rudie
2024	—	`conf`	Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. EMNLP (Findings) Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2024	J	`jnl`	Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. CoRR Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2024	J	`jnl`	Mitigating Social Biases in Language Models through Unlearning. CoRR Omkar Dige, Diljot Singh, Tsz Fung Yau, Qixuan Zhang, Borna Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak
2024	—	`conf`	Mixture of Prompt Experts for Natural Language Inference. CCECE Zi'ou Zheng, Xiaodan Zhu
2024	—	`conf`	On the Effectiveness of Training Objectives of Pretrained Models for Inertial Sensor Data. CCECE Paul Quinlan, Qingguo Li, Xiaodan Zhu
2024	J	`jnl`	Robust Utility-Preserving Text Anonymization Based on Large Language Models. CoRR Tianyu Yang, Xiaodan Zhu, Iryna Gurevych
2024	—	`conf`	SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration. EMNLP (Industry Track) Yuanhao Shen, Xiaodan Zhu, Lei Chen
2024	J	`jnl`	SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration. CoRR Yuanhao Shen, Xiaodan Zhu, Lei Chen
2024	J	`jnl`	Self-Consistent Decoding for More Factual Open Responses. CoRR Christopher Malon, Xiaodan Zhu
2024	—	`conf`	SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. ACL (1) Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych
2024	J	`jnl`	SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. CoRR Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych
2024	J	`jnl`	The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision. CoRR Stephen Obadinma, Alia Lachana, Maia Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi
2024	—	`conf`	The State of the Art of Large Language Models on Chartered Financial Analyst Exams. EMNLP (Industry Track) Mahmoud Mahfouz, Ethan Callanan, Mathieu Sibue, Antony Papadimitriou, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu
2024	J	`jnl`	What Can Natural Language Processing Do for Peer Review? CoRR 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
2023	—	`conf`	A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. ACL (2) Rohan Bhambhoria, Lei Chen, Xiaodan Zhu
2023	J	`jnl`	A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. CoRR Rohan Bhambhoria, Lei Chen, Xiaodan Zhu
2023	—	`conf`	Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. EMNLP (Industry Track) Xianzhi Li, Samuel Chan, Xiaodan Zhu, Yulong Pei, Zhiqiang Ma, Xiaomo Liu, Sameena Shah
2023	J	`jnl`	Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks. CoRR Xianzhi Li, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah
2023	J	`jnl`	Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. CoRR Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi
2023	J	`jnl`	Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams. CoRR Ethan Callanan, Amarachi Mbakwe, Antony Papadimitriou, Yulong Pei, Mathieu Sibue, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah
2023	J	`jnl`	ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection. CoRR Yihao Fang, Xianzhi Li, Stephen W. Thomas, Xiaodan Zhu
2023	—	`conf`	Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data. RepL4NLP@ACL Stephen Obadinma, Hongyu Guo, Xiaodan Zhu
2023	J	`jnl`	Effectiveness of Data Augmentation for Prefix Tuning with Limited Data. CoRR Stephen Obadinma, Hongyu Guo, Xiaodan Zhu
2023	J	`jnl`	Ensemble Distillation for Unsupervised Constituency Parsing. CoRR Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
2023	—	`conf`	Guided Learning of Human Sensor Models with Low-Level Grounding. Canadian AI Paul Quinlan, Qingguo Li, Xiaodan Zhu
2023	—	`conf`	JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
2023	A*	`conf`	Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. SIGIR Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta
2023	—	`conf`	Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu
2023	—	`conf`	Legally Enforceable Hate Speech Detection for Public Forums. EMNLP (Findings) Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2023	—	`conf`	NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic. ACL (1) Zi'ou Zheng, Xiaodan Zhu
2023	J	`jnl`	NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic. CoRR Zi'ou Zheng, Xiaodan Zhu
2023	C	`conf`	OpenJustice.ai: A Global Open-Source Legal Language Model. JURIX Samuel Dahan, Rohan Bhambhoria, David Liang, Xiaodan Zhu
2023	A*	`conf`	OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. EMNLP Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu
2023	J	`jnl`	Parameter-Efficient Methods for Metastases Detection from Clinical Notes. CoRR Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do
2023	—	`conf`	Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Canadian AI Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do
2023	—	`conf`	Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. ACL (2) Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu
2023	J	`jnl`	Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. CoRR Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu
2023	—	`conf`	Prototype-Based Interpretability for Legal Citation Prediction. ACL (Findings) Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2023	J	`jnl`	Prototype-Based Interpretability for Legal Citation Prediction. CoRR Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2023	A*	`conf`	Robust NLP for Finance (RobustFin). KDD Sameena Shah, Xiaodan Zhu, Gerard de Melo, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Zhiyu Chen
2023	J	`jnl`	Towards Legally Enforceable Hate Speech Detection for Public Forums. CoRR Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu, Samuel Dahan
2023	—	`conf`	Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification. ACL (industry) Tianqi Wang, Lei Chen, Xiaodan Zhu, Younghun Lee, Jing Gao
2022	—	`conf`	Developing Prefix-Tuning Models for Hierarchical Text Classification. EMNLP (Industry Track) Lei Chen, Hou Wei Chou, Xiaodan Zhu
2022	—	`conf`	Evaluating Explanation Correctness in Legal Decision Making. Canadian AI Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2022	A*	`conf`	Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. AAAI Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu
2022	A*	`conf`	Interpretable Low-Resource Legal Decision Making. AAAI Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu
2022	J	`jnl`	Interpretable Low-Resource Legal Decision Making. CoRR Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu
2022	J	`jnl`	JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. CoRR Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
2022	J	`jnl`	Learning Better Intent Representations for Financial Open Intent Classification. CoRR Xianzhi Li, Will Aitken, Xiaodan Zhu, Stephen W. Thomas
2022	J	`jnl`	Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference. CoRR Yufei Feng, Xiaoyu Yang, Xiaodan Zhu, Michael A. Greenspan
2022	J	`jnl`	Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference. Trans. Assoc. Comput. Linguistics Yufei Feng, Xiaoyu Yang, Xiaodan Zhu, Michael A. Greenspan
2022	—	`conf`	Parameter-Efficient Legal Domain Adaptation. NLLP@EMNLP Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu
2022	J	`jnl`	Parameter-Efficient Legal Domain Adaptation. CoRR Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu
2021	—	`conf`	Class-wise Calibration: A Case Study on COVID-19 Hate Speech. Canadian AI Stephen Obadinma, Hongyu Guo, Xiaodan Zhu
2021	J	`jnl`	Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Jia-Chen Gu, Tianda Li, Zhen-Hua Ling, Quan Liu, Zhiming Su, Yu-Ping Ruan, Xiaodan Zhu
2021	—	`conf`	Descriptive Image Captioning with Salient Retrieval Priors. Canadian AI Zhan Shi, Hui Liu, Xiaodan Zhu
2021	—	`conf`	Detecting Speaker Personas from Conversational Texts. EMNLP (1) Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu
2021	J	`jnl`	Detecting Speaker Personas from Conversational Texts. CoRR Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu
2021	A*	`conf`	Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. AAAI Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu
2021	J	`jnl`	Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. CoRR Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu
2021	—	`conf`	Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy. EMNLP (1) Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng
2021	—	`conf`	Enhancing Descriptive Image Captioning with Natural Language Inference. ACL/IJCNLP (2) Zhan Shi, Hui Liu, Xiaodan Zhu
2021	—	`conf`	Enhancing Pretrained Models with Domain Knowledge. Canadian AI Yufei Feng, Michael A. Greenspan, Xiaodan Zhu
2021	J	`jnl`	Enhancing emotion inference in conversations with commonsense knowledge. Knowl. Based Syst. Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng
2021	—	`conf`	Exploring Decomposition for Table-based Fact Verification. EMNLP (Findings) Xiaoyu Yang, Xiaodan Zhu
2021	J	`jnl`	Exploring Decomposition for Table-based Fact Verification. CoRR Xiaoyu Yang, Xiaodan Zhu
2021	Misc	`conf`	Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. ICASSP Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Xiaodan Zhu
2021	A	`conf`	Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. CIKM Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu
2021	J	`jnl`	Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. CoRR Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu
2021	—	`conf`	Improving Depression Assessment With Multi-Task Learning From Speech and Text Information. ACSCC Clinton Lau, Wai-Yip Chan, Xiaodan Zhu
2021	—	`conf`	Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. NAACL-HLT Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu
2021	J	`jnl`	Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. CoRR Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu
2021	J	`jnl`	Improving Text-to-SQL with Schema Dependency Learning. CoRR Binyuan Hui, Xiang Shi, Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu
2021	—	`conf`	Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. Canadian AI Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu
2021	A*	`conf`	Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. SIGIR Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu
2021	J	`jnl`	Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. CoRR Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu
2021	J	`jnl`	Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking. CoRR Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu
2021	—	`conf`	Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. ACL/IJCNLP (2) Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu
2021	—	`ed.`	Proceedings of the 15th International Workshop on Semantic Evaluation, SemEval@ACL/IJCNLP 2021, Virtual Event / Bangkok, Thailand, August 5-6, 2021. SemEval@ACL/IJCNLP Alexis Palmer, Nathan Schneider, Natalie Schluter, Guy Emerson, Aurélie Herbelot, Xiaodan Zhu
2021	—	`conf`	Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning. EMNLP (Findings) Zhan Shi, Hui Liu, Martin Renqiang Min, Christopher Malon, Li Erran Li, Xiaodan Zhu
2021	—	`conf`	SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu
2021	J	`jnl`	SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. CoRR Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu
2021	—	`conf`	THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation. SemEval@ACL/IJCNLP Yuxuan Zhou, Kaiyin Zhou, Xien Liu, Ji Wu, Xiaodan Zhu
2021	—	`conf`	Unsupervised Conversation Disentanglement through Co-Training. EMNLP (1) Hui Liu, Zhan Shi, Xiaodan Zhu
2021	J	`jnl`	Unsupervised Conversation Disentanglement through Co-Training. CoRR Hui Liu, Zhan Shi, Xiaodan Zhu
2021	J	`jnl`	Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference. CoRR Xiaoyu Yang, Xiaodan Zhu, Zhan Shi, Tianda Li
2021	—	`conf`	WinoLogic: A Zero-Shot Logic-based Diagnostic Dataset for Winograd Schema Challenge. EMNLP (1) Weinan He, Canming Huang, Yongmei Liu, Xiaodan Zhu
2021	—	`conf`	extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian AI Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020	—	`ed.`	Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings Canadian AI Cyril Goutte, Xiaodan Zhu
2020	B	`conf`	Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. IJCNN Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li
2020	B	`conf`	Capsule Deep Generative Model That Forms Parse Trees. IJCNN Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi
2020	J	`jnl`	Condition-Transforming Variational Autoencoder for Generating Diverse Short Text Conversations. ACM Trans. Asian Low Resour. Lang. Inf. Process. Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu
2020	J	`jnl`	Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell
2020	J	`jnl`	DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement. CoRR Tianda Li, Jia-Chen Gu, Xiaodan Zhu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei
2020	A*	`conf`	Dynamic Memory Induction Networks for Few-Shot Text Classification. ACL Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu
2020	J	`jnl`	Dynamic Memory Induction Networks for Few-Shot Text Classification. CoRR Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu
2020	A*	`conf`	End-to-End Transition-Based Online Dialogue Disentanglement. IJCAI Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu
2020	—	`conf`	Exploring Deep Anomaly Detection Methods Based on Capsule Net. Canadian AI Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li
2020	B	`conf`	Exploring End-to-End Differentiable Natural Logic Modeling. COLING Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu
2020	J	`jnl`	Exploring End-to-End Differentiable Natural Logic Modeling. CoRR Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu
2020	—	`conf`	Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. EMNLP (Findings) Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu
2020	J	`jnl`	Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. CoRR Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu
2020	J	`jnl`	Generating diverse conversation responses by creating and ranking multiple candidates. Comput. Speech Lang. Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu, Jia-Chen Gu
2020	A*	`conf`	Improving Image Captioning with Better Use of Caption. ACL Zhan Shi, Xu Zhou, Xipeng Qiu, Xiaodan Zhu
2020	J	`jnl`	Improving Image Captioning with Better Use of Captions. CoRR Zhan Shi, Xu Zhou, Xipeng Qiu, Xiaodan Zhu
2020	A*	`conf`	Learning Cross-Modal Context Graph for Visual Grounding. AAAI Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He
2020	A*	`conf`	Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment. ACL Yinpei Dai, Hangyu Li, Chengguang Tang, Yongbin Li, Jian Sun, Xiaodan Zhu
2020	J	`jnl`	Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020	J	`jnl`	Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems. CoRR Chao-Hong Tan, Xiaoyu Yang, Zi'ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, Xiaodan Zhu
2020	B	`conf`	Multi-Modal Fusion With Observation Points For Skeleton Action Recognition. ICIP Iqbal Singh, Xiaodan Zhu, Michael A. Greenspan
2020	—	`ed.`	Natural Language Processing and Chinese Computing - 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14-18, 2020, Proceedings, Part I NLPCC (1) Xiaodan Zhu, Min Zhang, Yu Hong, Ruifang He
2020	—	`ed.`	Natural Language Processing and Chinese Computing - 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14-18, 2020, Proceedings, Part II NLPCC (2) Xiaodan Zhu, Min Zhang, Yu Hong, Ruifang He
2020	J	`jnl`	Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. CoRR Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan
2020	—	`ed.`	Proceedings of the Fourteenth Workshop on Semantic Evaluation, SemEval@COLING 2020, Barcelona (online), December 12-13, 2020 SemEval@COLING Aurélie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova
2020	—	`conf`	Program Enhanced Fact Verification with Verbalization and Graph Attention Network. EMNLP (1) Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu
2020	J	`jnl`	Program Enhanced Fact Verification with Verbalization and Graph Attention Network. CoRR Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu
2020	—	`conf`	SemEval-2020 Task 4: Commonsense Validation and Explanation. SemEval@COLING Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
2020	J	`jnl`	SemEval-2020 Task 4: Commonsense Validation and Explanation. CoRR Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
2020	—	`conf`	SemEval-2020 Task 5: Counterfactual Recognition. SemEval@COLING Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
2020	J	`jnl`	SemEval-2020 Task 5: Counterfactual Recognition. CoRR Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
2020	A	`conf`	Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CIKM Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu
2020	J	`jnl`	Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CoRR Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Zhiming Su, Si Wei
2019	—	`conf`	Capsule Generative Models. ICANN (1) Yifeng Li, Xiaodan Zhu
2019	—	`conf`	Deep Learning for Natural Language Inference. NAACL-HLT (Tutorial Abstracts) Samuel R. Bowman, Xiaodan Zhu
2019	—	`conf`	Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. EMNLP/IJCNLP (1) Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu
2019	J	`jnl`	Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. CoRR Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu
2019	—	`conf`	Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. Canadian AI Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng
2019	J	`jnl`	Exploring Deep Anomaly Detection Methods Based on Capsule Net. CoRR Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li
2019	J	`jnl`	Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge. CoRR Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling, Zhan Shi, Quan Liu, Si Wei
2019	J	`jnl`	Exploring deep neural networks for multitarget stance detection. Comput. Intell. Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu
2019	—	`conf`	Induction Networks for Few-Shot Text Classification. EMNLP/IJCNLP (1) Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun
2019	—	`ed.`	Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers CCKS Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian
2019	J	`jnl`	Learning Cross-modal Context Graph for Visual Grounding. CoRR Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He
2019	—	`ed.`	Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019 SemEval@NAACL-HLT Jonathan May, Ekaterina Shutova, Aurélie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
2019	J	`jnl`	Promoting Diversity for End-to-End Conversation Response Generation. CoRR Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu
2019	J	`jnl`	Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference. CoRR Tianda Li, Xiaodan Zhu, Quan Liu, Qian Chen, Zhigang Chen, Si Wei
2018	B	`conf`	Enhancing Sentence Embedding with Generalized Pooling. COLING Qian Chen, Zhen-Hua Ling, Xiaodan Zhu
2018	J	`jnl`	Enhancing Sentence Embedding with Generalized Pooling. CoRR Qian Chen, Zhen-Hua Ling, Xiaodan Zhu
2018	B	`conf`	Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling. IJCNN Yifeng Li, Xiaodan Zhu
2018	J	`jnl`	Logographic Subword Model for Neural Machine Translation. CoRR Yihao Fang, Rong Zheng, Xiaodan Zhu
2018	—	`conf`	Neural Natural Language Inference Models Enhanced with External Knowledge. ACL (1) Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei
2017	—	`conf`	A Dataset for Multi-Target Stance Detection. EACL (2) Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu
2017	A*	`conf`	Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. IJCAI Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu
2017	—	`conf`	Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. AAAI Spring Symposia Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu
2017	—	`conf`	Deep Learning for Semantic Composition. ACL (Tutorial Abstracts) Xiaodan Zhu, Edward Grefenstette
2017	—	`conf`	Enhanced LSTM for Natural Language Inference. ACL (1) Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen
2017	J	`jnl`	Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering. CoRR Junbei Zhang, Xiaodan Zhu, Qian Chen, Li-Rong Dai, Si Wei, Hui Jiang
2017	J	`jnl`	Natural Language Inference with External Knowledge. CoRR Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei
2017	—	`conf`	Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. RepEval@EMNLP Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen
2017	J	`jnl`	Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. CoRR Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen
2016	B	`conf`	A Dataset for Detecting Stance in Tweets. LREC Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry
2016	J	`jnl`	Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. CoRR Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu
2016	—	`conf`	DAG-Structured Long Short-Term Memory for Semantic Compositionality. HLT-NAACL Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo
2016	J	`jnl`	Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Evaluation Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu
2016	J	`jnl`	Distraction-Based Neural Networks for Document Summarization. CoRR Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang
2016	A*	`conf`	Distraction-Based Neural Networks for Modeling Document. IJCAI Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang
2016	J	`jnl`	Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference. CoRR Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang
2016	B	`conf`	Extracting Discriminative Keyphrases with Learned Semantic Hierarchies. COLING Yunli Wang, Yong Jin, Xiaodan Zhu, Cyril Goutte
2016	—	`conf`	SemEval-2016 Task 6: Detecting Stance in Tweets. SemEval@NAACL-HLT Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry
2015	J	`jnl`	A Deep Learning Model for Structured Outputs with High-order Interaction. CoRR Hongyu Guo, Xiaodan Zhu, Martin Renqiang Min
2015	A*	`conf`	Long Short-Term Memory Over Recursive Structures. ICML Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo
2015	J	`jnl`	Long Short-Term Memory Over Tree Structures. CoRR Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo
2015	J	`jnl`	Measuring academic influence: Not all citations are equal. CoRR Xiaodan Zhu, Peter D. Turney, Daniel Lemire, André Vellino
2015	J	`jnl`	Measuring academic influence: Not all citations are equal. J. Assoc. Inf. Sci. Technol. Xiaodan Zhu, Peter D. Turney, Daniel Lemire, André Vellino
2015	—	`conf`	Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition. *SEM@NAACL-HLT Xiaodan Zhu, Hongyu Guo, Parinaz Sobhani
2015	—	`conf`	Revisiting Word Embedding for Contrasting Meaning. ACL (1) Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, Xiaodan Zhu
2015	J	`jnl`	Sentiment, emotion, purpose, and style in electoral tweets. Inf. Process. Manag. Saif M. Mohammad, Xiaodan Zhu, Svetlana Kiritchenko, Joel D. Martin
2014	—	`conf`	An Empirical Study on the Effect of Negation Words on Sentiment. ACL (1) Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko
2014	A	`conf`	Bilingual Sentiment Consistency for Statistical Machine Translation. EACL Boxing Chen, Xiaodan Zhu
2014	—	`conf`	NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews. SemEval@COLING Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, Saif M. Mohammad
2014	—	`conf`	NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets. SemEval@COLING Xiaodan Zhu, Svetlana Kiritchenko, Saif M. Mohammad
2014	—	`conf`	Semantic Role Labeling of Emotions in Tweets. WASSA@ACL Saif M. Mohammad, Xiaodan Zhu, Joel D. Martin
2014	J	`jnl`	Sentiment Analysis of Short Informal Texts. J. Artif. Intell. Res. Svetlana Kiritchenko, Xiaodan Zhu, Saif M. Mohammad
2013	J	`jnl`	A Graph-Partitioning Framework for Aligning Hierarchical Topic Structures to Presentations. IEEE Trans. Speech Audio Process. Xiaodan Zhu, Colin Cherry, Gerald Penn
2013	J	`jnl`	Detecting concept relations in clinical text: Insights from a state-of-the-art model. J. Biomed. Informatics Xiaodan Zhu, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Berry de Bruijn
2013	—	`conf`	NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. SemEval@NAACL-HLT Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu
2013	J	`jnl`	NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. CoRR Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu
2013	J	`jnl`	À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge. J. Am. Medical Informatics Assoc. Colin Cherry, Xiaodan Zhu, Joel D. Martin, Berry de Bruijn
2012	—	`conf`	An ecologically valid evaluation of speech summarization. CHI Extended Abstracts Anthony McCallum, Cosmin Munteanu, Gerald Penn, Xiaodan Zhu
2012	—	`conf`	Ecological Validity and the Evaluation of Speech Summarization Quality. EvalMetrics@NAACL-HLT Anthony McCallum, Cosmin Munteanu, Gerald Penn, Xiaodan Zhu
2012	—	`conf`	Ecological validity and the evaluation of speech summarization quality. SLT Anthony McCallum, Gerald Penn, Cosmin Munteanu, Xiaodan Zhu
2012	—	`conf`	Spotting keywords and sensing topic changes in speech. CISDA Xiaodan Zhu
2011	B	`conf`	A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents. CoNLL Xiaodan Zhu
2011	B	`conf`	Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree-to-string Alignment Models. IJCNLP Xiaodan Zhu, Colin Cherry, Gerald Penn
2011	J	`jnl`	Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J. Am. Medical Informatics Assoc. Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Xiaodan Zhu
2010	—	`conf`	Imposing Hierarchical Browsing Structures onto Spoken Documents. COLING (Posters) Xiaodan Zhu, Colin Cherry, Gerald Penn
2010	—	`—`	Summarizing Spoken Documents Through Utterance Selection. Xiaodan Zhu
2009	—	`conf`	Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data. ACL/IJCNLP Cosmin Munteanu, Gerald Penn, Xiaodan Zhu
2009	—	`conf`	Summarizing multiple spoken documents: finding evidence from untranscribed audio. ACL/IJCNLP Xiaodan Zhu, Gerald Penn, Frank Rudzicz
2008	A*	`conf`	A Critical Reassessment of Evaluation Baselines for Speech Summarization. ACL Gerald Penn, Xiaodan Zhu
2008	—	`conf`	Identifying salient utterances of online spoken documents using descriptive hypertext. SLT Xiaodan Zhu, Siavash Kazemian, Gerald Penn
2008	—	`conf`	Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels. SSST@ACL Bowen Zhou, Bing Xiang, Xiaodan Zhu, Yuqing Gao
2008	A	`conf`	Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection. INTERSPEECH Xiaodan Zhu, Xuming He, Cosmin Munteanu, Gerald Penn
2006	—	`conf`	Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization. HLT-NAACL Xiaodan Zhu, Gerald Penn
2006	A	`conf`	Summarization of spontaneous conversations. INTERSPEECH Xiaodan Zhu, Gerald Penn
2006	Misc	`conf`	Using Outcome Polarity in Sentence Extraction for Medical Question-Answering. AMIA Yun Niu, Xiaodan Zhu, Graeme Hirst
2006	A	`conf`	Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features. ICME Xiaodan Zhu, Gerald Penn
2005	Misc	`conf`	Analysis of Polarity Information in Medical Text. AMIA Yun Niu, Xiaodan Zhu, Jianhua Li, Graeme Hirst
2003	—	`conf`	Single Character Chinese Named Entity Recognition. SIGHAN Xiaodan Zhu, Mu Li, Jianfeng Gao, Changning Huang
2002	J	`jnl`	Temporal Representation and Classification in Chinese. Int. J. Comput. Process. Orient. Lang. Kam-Fai Wong, Wenjie Li, Chunfa Yuan, Xiaodan Zhu