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ORCIDXiaodan Zhu 0001
Person information
- affiliation: Queen's University, Kingston, Canada
- affiliation (2010 - 2017): National Research Council Canada, Ottawa, ON, Canada
- affiliation (PhD 2010): University of Toronto, Department of Computer Science, ON, Canada
- affiliation (former): Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Xiaodan Zhu — disambiguation page
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2020 – today
- 2024
[c105]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. ICLR 2024- [i68]Stephen Obadinma, Xiaodan Zhu, Hongyu Guo:
Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration. CoRR abs/2401.02718 (2024) - [i67]Yihao Fang, Stephen W. Thomas, Xiaodan Zhu:
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation. CoRR abs/2402.09390 (2024) - [i66]Christopher Malon, Xiaodan Zhu:
Self-Consistent Decoding for More Factual Open Responses. CoRR abs/2403.00696 (2024) - [i65]Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu:
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. CoRR abs/2404.12349 (2024) - [i64]Chu Fei Luo, Ahmad Ghawanmeh, Xiaodan Zhu, Faiza Khan Khattak:
BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. CoRR abs/2405.04756 (2024) - [i63]Stephen Obadinma, Alia Lachana, Maia Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi:
The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision. CoRR abs/2405.18553 (2024) - [i62]Omkar Dige, Diljot Singh, Tsz Fung Yau, Qixuan Zhang, Borna Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak:
Mitigating Social Biases in Language Models through Unlearning. CoRR abs/2406.13551 (2024) - [i61]Jonathan Li, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice. CoRR abs/2409.07713 (2024) - [i60]Xianzhi Li, Ran Zmigrod, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu:
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation. CoRR abs/2410.02912 (2024) - 2023
- [c104]Tianqi Wang, Lei Chen, Xiaodan Zhu, Younghun Lee, Jing Gao:
Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification. ACL (industry) 2023: 574-580 - [c103]Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu:
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. ACL (2) 2023: 1408-1419 - [c102]Rohan Bhambhoria, Lei Chen, Xiaodan Zhu:
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. ACL (2) 2023: 1782-1792 - [c101]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Prototype-Based Interpretability for Legal Citation Prediction. ACL (Findings) 2023: 4883-4898 - [c100]Zi'ou Zheng, Xiaodan Zhu:
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic. ACL (1) 2023: 9960-9976 - [c99]Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan:
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) 2023: 11226-11238 - [c98]Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Canadian AI 2023 - [c97]Paul Quinlan, Qingguo Li, Xiaodan Zhu:
Guided Learning of Human Sensor Models with Low-Level Grounding. Canadian AI 2023 - [c96]Xianzhi Li, Samuel Chan, Xiaodan Zhu, Yulong Pei, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. EMNLP (Industry Track) 2023: 408-422 - [c95]Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu:
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. EMNLP 2023: 7242-7254 - [c94]Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu:
Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) 2023: 8062-8074 - [c93]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Legally Enforceable Hate Speech Detection for Public Forums. EMNLP (Findings) 2023: 10948-10963 - [c92]Samuel Dahan
, Rohan Bhambhoria, David Liang, Xiaodan Zhu:
OpenJustice.ai: A Global Open-Source Legal Language Model. JURIX 2023: 387-390 - [c91]Sameena Shah, Xiaodan Zhu, Gerard de Melo, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Zhiyu Chen:
Robust NLP for Finance (RobustFin). KDD 2023: 5884-5885 - [c90]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data. RepL4NLP@ACL 2023: 226-237 - [c89]Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta:
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. SIGIR 2023: 3464-3467 - [i59]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:
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support. CoRR abs/2302.03222 (2023) - [i58]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Effectiveness of Data Augmentation for Prefix Tuning with Limited Data. CoRR abs/2303.02577 (2023) - [i57]Xianzhi Li, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks. CoRR abs/2305.05862 (2023) - [i56]Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu:
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. CoRR abs/2305.12086 (2023) - [i55]Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu, Samuel Dahan:
Towards Legally Enforceable Hate Speech Detection for Public Forums. CoRR abs/2305.13677 (2023) - [i54]Rohan Bhambhoria, Lei Chen, Xiaodan Zhu:
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. CoRR abs/2305.15282 (2023) - [i53]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Prototype-Based Interpretability for Legal Citation Prediction. CoRR abs/2305.16490 (2023) - [i52]Zi'ou Zheng, Xiaodan Zhu:
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic. CoRR abs/2307.02849 (2023) - [i51]Yihao Fang, Xianzhi Li, Stephen W. Thomas, Xiaodan Zhu:
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection. CoRR abs/2308.13517 (2023) - [i50]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. CoRR abs/2310.01717 (2023) - [i49]Ethan Callanan, Amarachi Mbakwe, Antony Papadimitriou, Yulong Pei, Mathieu Sibue, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams. CoRR abs/2310.08678 (2023) - [i48]Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection from Clinical Notes. CoRR abs/2310.18472 (2023) - 2022
- [j15]Yufei Feng, Xiaoyu Yang, Xiaodan Zhu, Michael A. Greenspan:
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference. Trans. Assoc. Comput. Linguistics 10: 240-256 (2022) - [c88]Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu:
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. AAAI 2022: 2253-2261 - [c87]Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. AAAI 2022: 11819-11827 - [c86]Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu:
Parameter-Efficient Legal Domain Adaptation. NLLP@EMNLP 2022: 119-129 - [c85]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Evaluating Explanation Correctness in Legal Decision Making. Canadian AI 2022 - [c84]Lei Chen, Hou Wei Chou, Xiaodan Zhu:
Developing Prefix-Tuning Models for Hierarchical Text Classification. EMNLP (Industry Track) 2022: 390-397 - [i47]Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. CoRR abs/2201.01164 (2022) - [i46]Yufei Feng, Xiaoyu Yang, Xiaodan Zhu, Michael A. Greenspan:
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference. CoRR abs/2203.04857 (2022) - [i45]Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu:
Parameter-Efficient Legal Domain Adaptation. CoRR abs/2210.13712 (2022) - [i44]Xianzhi Li, Will Aitken, Xiaodan Zhu, Stephen W. Thomas:
Learning Better Intent Representations for Financial Open Intent Classification. CoRR abs/2210.14304 (2022) - [i43]Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan:
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. CoRR abs/2210.15456 (2022) - 2021
- [j14]Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng:
Enhancing emotion inference in conversations with commonsense knowledge. Knowl. Based Syst. 232: 107449 (2021) - [j13]Jia-Chen Gu, Tianda Li, Zhen-Hua Ling, Quan Liu, Zhiming Su, Yu-Ping Ruan, Xiaodan Zhu:
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2443-2455 (2021) - [c83]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. AAAI 2021: 13116-13124 - [c82]Zhan Shi, Hui Liu, Xiaodan Zhu:
Enhancing Descriptive Image Captioning with Natural Language Inference. ACL/IJCNLP (2) 2021: 269-277 - [c81]Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu:
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. ACL/IJCNLP (2) 2021: 879-885 - [c80]Clinton Lau, Wai-Yip Chan, Xiaodan Zhu:
Improving Depression Assessment With Multi-Task Learning From Speech and Text Information. ACSCC 2021: 449-453 - [c79]Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. Canadian AI 2021 - [c78]Yufei Feng, Michael A. Greenspan, Xiaodan Zhu:
Enhancing Pretrained Models with Domain Knowledge. Canadian AI 2021 - [c77]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
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 2021 - [c76]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Class-wise Calibration: A Case Study on COVID-19 Hate Speech. Canadian AI 2021 - [c75]Zhan Shi, Hui Liu, Xiaodan Zhu:
Descriptive Image Captioning with Salient Retrieval Priors. Canadian AI 2021 - [c74]Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu:
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. CIKM 2021: 1598-1608 - [c73]Xiaoyu Yang, Xiaodan Zhu:
Exploring Decomposition for Table-based Fact Verification. EMNLP (Findings) 2021: 1045-1052 - [c72]Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Detecting Speaker Personas from Conversational Texts. EMNLP (1) 2021: 1126-1136 - [c71]Zhan Shi, Hui Liu, Martin Renqiang Min, Christopher Malon, Li Erran Li, Xiaodan Zhu:
Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning. EMNLP (Findings) 2021: 1990-2000 - [c70]Hui Liu, Zhan Shi, Xiaodan Zhu:
Unsupervised Conversation Disentanglement through Co-Training. EMNLP (1) 2021: 2345-2356 - [c69]Weinan He, Canming Huang, Yongmei Liu, Xiaodan Zhu:
WinoLogic: A Zero-Shot Logic-based Diagnostic Dataset for Winograd Schema Challenge. EMNLP (1) 2021: 3779-3789 - [c68]Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng:
Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy. EMNLP (1) 2021: 3935-3941 - [c67]Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Xiaodan Zhu:
Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. ICASSP 2021: 6928-6932 - [c66]Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. NAACL-HLT 2021: 1051-1062 - [c65]Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP 2021: 37-50 - [c64]Yuxuan Zhou, Kaiyin Zhou, Xien Liu, Ji Wu, Xiaodan Zhu:
THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation. SemEval@ACL/IJCNLP 2021: 416-422 - [c63]Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. SIGIR 2021: 565-574 - [e7]Alexis Palmer, Nathan Schneider, Natalie Schluter, Guy Emerson, Aurélie Herbelot, Xiaodan Zhu:
Proceedings of the 15th International Workshop on Semantic Evaluation, SemEval@ACL/IJCNLP 2021, Virtual Event / Bangkok, Thailand, August 5-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-70-1 [contents] - [i42]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. CoRR abs/2101.01686 (2021) - [i41]Binyuan Hui, Xiang Shi, Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu:
Improving Text-to-SQL with Schema Dependency Learning. CoRR abs/2103.04399 (2021) - [i40]Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. CoRR abs/2104.01666 (2021) - [i39]Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. CoRR abs/2105.09050 (2021) - [i38]Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. CoRR abs/2105.14879 (2021) - [i37]Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu:
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking. CoRR abs/2106.00291 (2021) - [i36]Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Detecting Speaker Personas from Conversational Texts. CoRR abs/2109.01330 (2021) - [i35]Hui Liu, Zhan Shi, Xiaodan Zhu:
Unsupervised Conversation Disentanglement through Co-Training. CoRR abs/2109.03199 (2021) - [i34]Xiaoyu Yang, Xiaodan Zhu, Zhan Shi, Tianda Li:
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference. CoRR abs/2109.03941 (2021) - [i33]Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu:
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. CoRR abs/2109.06471 (2021) - [i32]Xiaoyu Yang, Xiaodan Zhu:
Exploring Decomposition for Table-based Fact Verification. CoRR abs/2109.11020 (2021) - 2020
- [j12]Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu, Jia-Chen Gu:
Generating diverse conversation responses by creating and ranking multiple candidates. Comput. Speech Lang. 62: 101071 (2020) - [j11]Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu:
Condition-Transforming Variational Autoencoder for Generating Diverse Short Text Conversations. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(6): 79:1-79:13 (2020) - [c62]Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He:
Learning Cross-Modal Context Graph for Visual Grounding. AAAI 2020: 11645-11652 - [c61]Yinpei Dai, Hangyu Li, Chengguang Tang, Yongbin Li, Jian Sun, Xiaodan Zhu:
Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment. ACL 2020: 609-618 - [c60]Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu:
Dynamic Memory Induction Networks for Few-Shot Text Classification. ACL 2020: 1087-1094 - [c59]Zhan Shi, Xu Zhou, Xipeng Qiu, Xiaodan Zhu:
Improving Image Captioning with Better Use of Caption. ACL 2020: 7454-7464 - [c58]Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li:
Exploring Deep Anomaly Detection Methods Based on Capsule Net. Canadian AI 2020: 375-387 - [c57]Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu:
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CIKM 2020: 2041-2044 - [c56]Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu:
Exploring End-to-End Differentiable Natural Logic Modeling. COLING 2020: 1172-1185 - [c55]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. EMNLP (Findings) 2020: 1412-1422 - [c54]Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Program Enhanced Fact Verification with Verbalization and Graph Attention Network. EMNLP (1) 2020: 7810-7825 - [c53]Iqbal Singh, Xiaodan Zhu, Michael A. Greenspan:
Multi-Modal Fusion With Observation Points For Skeleton Action Recognition. ICIP 2020: 1781-1785 - [c52]Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu:
End-to-End Transition-Based Online Dialogue Disentanglement. IJCAI 2020: 3868-3874 - [c51]Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li:
Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. IJCNN 2020: 1-10 - [c50]Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi:
Capsule Deep Generative Model That Forms Parse Trees. IJCNN 2020: 1-8 - [c49]Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. SemEval@COLING 2020: 307-321 - [c48]Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu:
SemEval-2020 Task 5: Counterfactual Recognition. SemEval@COLING 2020: 322-335 - [e6]Cyril Goutte, Xiaodan Zhu:
Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings. Lecture Notes in Computer Science 12109, Springer 2020, ISBN 978-3-030-47357-0 [contents] - [e5]Xiaodan Zhu, Min Zhang, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12430, Springer 2020, ISBN 978-3-030-60449-3 [contents] - [e4]Xiaodan Zhu, Min Zhang, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12431, Springer 2020, ISBN 978-3-030-60456-1 [contents] - [e3]Aurélie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova:
Proceedings of the Fourteenth Workshop on Semantic Evaluation, SemEval@COLING 2020, Barcelona (online), December 12-13, 2020. International Committee for Computational Linguistics 2020, ISBN 978-1-952148-31-6 [contents] - [d1]Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu:
SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. Zenodo, 2020
- [i31]Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan:
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. CoRR abs/2004.01940 (2020) - [i30]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR abs/2004.02393 (2020) - [i29]Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Zhiming Su, Si Wei:
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CoRR abs/2004.03588 (2020) - [i28]Tianda Li, Jia-Chen Gu, Xiaodan Zhu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei:
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement. CoRR abs/2004.03760 (2020) - [i27]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. CoRR abs/2004.14550 (2020) - [i26]Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu:
Dynamic Memory Induction Networks for Few-Shot Text Classification. CoRR abs/2005.05727 (2020) - [i25]Zhan Shi, Xu Zhou, Xipeng Qiu, Xiaodan Zhu:
Improving Image Captioning with Better Use of Captions. CoRR abs/2006.11807 (2020) - [i24]Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. CoRR abs/2007.00236 (2020) - [i23]Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu:
SemEval-2020 Task 5: Counterfactual Recognition. CoRR abs/2008.00563 (2020) - [i22]Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Program Enhanced Fact Verification with Verbalization and Graph Attention Network. CoRR abs/2010.03084 (2020) - [i21]Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell:
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR abs/2010.09788 (2020) - [i20]Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu:
Exploring End-to-End Differentiable Natural Logic Modeling. CoRR abs/2011.04044 (2020) - [i19]Chao-Hong Tan, Xiaoyu Yang, Zi'ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, Xiaodan Zhu:
Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems. CoRR abs/2012.11937 (2020)
2010 – 2019
- 2019
- [j10]Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu:
Exploring deep neural networks for multitarget stance detection. Comput. Intell. 35(1): 82-97 (2019) - [c47]Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng:
Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. Canadian AI 2019: 413-419 - [c46]Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu:
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. EMNLP/IJCNLP (1) 2019: 1845-1854 - [c45]Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun:
Induction Networks for Few-Shot Text Classification. EMNLP/IJCNLP (1) 2019: 3902-3911 - [c44]Yifeng Li, Xiaodan Zhu:
Capsule Generative Models. ICANN (1) 2019: 281-295 - [c43]Samuel R. Bowman, Xiaodan Zhu:
Deep Learning for Natural Language Inference. NAACL-HLT (Tutorial Abstracts) 2019: 6-8 - [e2]Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian:
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers. Communications in Computer and Information Science 1134, Springer 2019, ISBN 978-981-15-1955-0 [contents] - [e1]Jonathan May, Ekaterina Shutova, Aurélie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad:
Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-06-2 [contents] - [i18]Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu:
Promoting Diversity for End-to-End Conversation Response Generation. CoRR abs/1901.09444 (2019) - [i17]Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling, Zhan Shi, Quan Liu, Si Wei:
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge. CoRR abs/1904.09705 (2019) - [i16]Tianda Li, Xiaodan Zhu, Quan Liu, Qian Chen, Zhigang Chen, Si Wei:
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference. CoRR abs/1904.12104 (2019) - [i15]Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li:
Exploring Deep Anomaly Detection Methods Based on Capsule Net. CoRR abs/1907.06312 (2019) - [i14]Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu:
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. CoRR abs/1908.05859 (2019) - [i13]Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He:
Learning Cross-modal Context Graph for Visual Grounding. CoRR abs/1911.09042 (2019) - 2018
- [c42]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei:
Neural Natural Language Inference Models Enhanced with External Knowledge. ACL (1) 2018: 2406-2417 - [c41]Qian Chen, Zhen-Hua Ling, Xiaodan Zhu:
Enhancing Sentence Embedding with Generalized Pooling. COLING 2018: 1815-1826 - [c40]Yifeng Li, Xiaodan Zhu:
Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling. IJCNN 2018: 1-10 - [i12]Qian Chen, Zhen-Hua Ling, Xiaodan Zhu:
Enhancing Sentence Embedding with Generalized Pooling. CoRR abs/1806.09828 (2018) - [i11]Yihao Fang, Rong Zheng, Xiaodan Zhu:
Logographic Subword Model for Neural Machine Translation. CoRR abs/1809.02592 (2018) - 2017
- [c39]Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu:
Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. AAAI Spring Symposia 2017 - [c38]Xiaodan Zhu, Edward Grefenstette:
Deep Learning for Semantic Composition. ACL (Tutorial Abstracts) 2017: 6-7 - [c37]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Enhanced LSTM for Natural Language Inference. ACL (1) 2017: 1657-1668 - [c36]Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu:
A Dataset for Multi-Target Stance Detection. EACL (2) 2017: 551-557 - [c35]Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu:
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. IJCAI 2017: 2344-2350 - [c34]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. RepEval@EMNLP 2017: 36-40 - [i10]Junbei Zhang, Xiaodan Zhu, Qian Chen, Li-Rong Dai, Si Wei, Hui Jiang:
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering. CoRR abs/1703.04617 (2017) - [i9]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference. CoRR abs/1708.01353 (2017) - [i8]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei:
Natural Language Inference with External Knowledge. CoRR abs/1711.04289 (2017) - 2016
- [j9]Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu:
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Evaluation 50(1): 35-65 (2016) - [c33]Yunli Wang, Yong Jin, Xiaodan Zhu, Cyril Goutte:
Extracting Discriminative Keyphrases with Learned Semantic Hierarchies. COLING 2016: 932-942 - [c32]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang:
Distraction-Based Neural Networks for Modeling Document. IJCAI 2016: 2754-2760 - [c31]Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry:
A Dataset for Detecting Stance in Tweets. LREC 2016 - [c30]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
DAG-Structured Long Short-Term Memory for Semantic Compositionality. HLT-NAACL 2016: 917-926 - [c29]Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry:
SemEval-2016 Task 6: Detecting Stance in Tweets. SemEval@NAACL-HLT 2016: 31-41 - [i7]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang:
Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference. CoRR abs/1609.06038 (2016) - [i6]Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang:
Distraction-Based Neural Networks for Document Summarization. CoRR abs/1610.08462 (2016) - [i5]Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu:
Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. CoRR abs/1611.04146 (2016) - 2015
- [j8]Saif M. Mohammad, Xiaodan Zhu, Svetlana Kiritchenko, Joel D. Martin:
Sentiment, emotion, purpose, and style in electoral tweets. Inf. Process. Manag. 51(4): 480-499 (2015) - [j7]Xiaodan Zhu, Peter D. Turney, Daniel Lemire, André Vellino:
Measuring academic influence: Not all citations are equal. J. Assoc. Inf. Sci. Technol. 66(2): 408-427 (2015) - [c28]Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, Si Wei, Hui Jiang, Xiaodan Zhu:
Revisiting Word Embedding for Contrasting Meaning. ACL (1) 2015: 106-115 - [c27]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
Long Short-Term Memory Over Recursive Structures. ICML 2015: 1604-1612 - [c26]Xiaodan Zhu, Hongyu Guo, Parinaz Sobhani:
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition. *SEM@NAACL-HLT 2015: 1-9 - [i4]Xiaodan Zhu, Peter D. Turney, Daniel Lemire, André Vellino:
Measuring academic influence: Not all citations are equal. CoRR abs/1501.06587 (2015) - [i3]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
Long Short-Term Memory Over Tree Structures. CoRR abs/1503.04881 (2015) - [i2]Hongyu Guo, Xiaodan Zhu, Martin Renqiang Min:
A Deep Learning Model for Structured Outputs with High-order Interaction. CoRR abs/1504.08022 (2015) - 2014
- [j6]Svetlana Kiritchenko, Xiaodan Zhu, Saif M. Mohammad:
Sentiment Analysis of Short Informal Texts. J. Artif. Intell. Res. 50: 723-762 (2014) - [c25]Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko:
An Empirical Study on the Effect of Negation Words on Sentiment. ACL (1) 2014: 304-313 - [c24]Boxing Chen, Xiaodan Zhu:
Bilingual Sentiment Consistency for Statistical Machine Translation. EACL 2014: 607-615 - [c23]Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, Saif M. Mohammad:
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews. SemEval@COLING 2014: 437-442 - [c22]Xiaodan Zhu, Svetlana Kiritchenko, Saif M. Mohammad:
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets. SemEval@COLING 2014: 443-447 - [c21]Saif M. Mohammad, Xiaodan Zhu, Joel D. Martin:
Semantic Role Labeling of Emotions in Tweets. WASSA@ACL 2014: 32-41 - 2013
- [j5]Colin Cherry, Xiaodan Zhu, Joel D. Martin, Berry de Bruijn:
À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge. J. Am. Medical Informatics Assoc. 20(5): 843-848 (2013) - [j4]Xiaodan Zhu, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Berry de Bruijn:
Detecting concept relations in clinical text: Insights from a state-of-the-art model. J. Biomed. Informatics 46(2): 275-285 (2013) - [j3]Xiaodan Zhu, Colin Cherry, Gerald Penn:
A Graph-Partitioning Framework for Aligning Hierarchical Topic Structures to Presentations. IEEE Trans. Speech Audio Process. 21(5): 1102-1112 (2013) - [c20]Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu:
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. SemEval@NAACL-HLT 2013: 321-327 - [i1]Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu:
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. CoRR abs/1308.6242 (2013) - 2012
- [c19]Anthony McCallum, Cosmin Munteanu, Gerald Penn, Xiaodan Zhu:
An ecologically valid evaluation of speech summarization. CHI Extended Abstracts 2012: 2219-2224 - [c18]Xiaodan Zhu:
Spotting keywords and sensing topic changes in speech. CISDA 2012: 1-7 - [c17]Anthony McCallum, Cosmin Munteanu, Gerald Penn, Xiaodan Zhu:
Ecological Validity and the Evaluation of Speech Summarization Quality. EvalMetrics@NAACL-HLT 2012: 28-35 - [c16]Anthony McCallum, Gerald Penn, Cosmin Munteanu, Xiaodan Zhu:
Ecological validity and the evaluation of speech summarization quality. SLT 2012: 467-472 - 2011
- [j2]Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Xiaodan Zhu:
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J. Am. Medical Informatics Assoc. 18(5): 557-562 (2011) - [c15]Xiaodan Zhu:
A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents. CoNLL 2011: 210-218 - [c14]Xiaodan Zhu, Colin Cherry, Gerald Penn:
Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree-to-string Alignment Models. IJCNLP 2011: 509-517 - 2010
- [b1]Xiaodan Zhu:
Summarizing Spoken Documents Through Utterance Selection. University of Toronto, Canada, 2010 - [c13]Xiaodan Zhu, Colin Cherry, Gerald Penn:
Imposing Hierarchical Browsing Structures onto Spoken Documents. COLING (Posters) 2010: 1550-1557
2000 – 2009
- 2009
- [c12]Xiaodan Zhu, Gerald Penn, Frank Rudzicz:
Summarizing multiple spoken documents: finding evidence from untranscribed audio. ACL/IJCNLP 2009: 549-557 - [c11]Cosmin Munteanu, Gerald Penn, Xiaodan Zhu:
Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data. ACL/IJCNLP 2009: 764-772 - 2008
- [c10]Gerald Penn, Xiaodan Zhu:
A Critical Reassessment of Evaluation Baselines for Speech Summarization. ACL 2008: 470-478 - [c9]Xiaodan Zhu, Xuming He, Cosmin Munteanu, Gerald Penn:
Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection. INTERSPEECH 2008: 2443-2445 - [c8]Xiaodan Zhu, Siavash Kazemian, Gerald Penn:
Identifying salient utterances of online spoken documents using descriptive hypertext. SLT 2008: 173-176 - [c7]Bowen Zhou, Bing Xiang, Xiaodan Zhu, Yuqing Gao:
Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels. SSST@ACL 2008: 19-27 - 2006
- [c6]Yun Niu, Xiaodan Zhu, Graeme Hirst:
Using Outcome Polarity in Sentence Extraction for Medical Question-Answering. AMIA 2006 - [c5]Xiaodan Zhu, Gerald Penn:
Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features. ICME 2006: 793-796 - [c4]Xiaodan Zhu, Gerald Penn:
Summarization of spontaneous conversations. INTERSPEECH 2006 - [c3]Xiaodan Zhu, Gerald Penn:
Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization. HLT-NAACL 2006 - 2005
- [c2]Yun Niu, Xiaodan Zhu, Jianhua Li, Graeme Hirst:
Analysis of Polarity Information in Medical Text. AMIA 2005 - 2003
- [c1]Xiaodan Zhu, Mu Li, Jianfeng Gao, Changning Huang:
Single Character Chinese Named Entity Recognition. SIGHAN 2003: 125-132 - 2002
- [j1]Kam-Fai Wong, Wenjie Li, Chunfa Yuan, Xiaodan Zhu:
Temporal Representation and Classification in Chinese. Int. J. Comput. Process. Orient. Lang. 15(2): 211-230 (2002)
Coauthor Index
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