Xiaodan Zhu

Orcid: 0000-0003-3856-3696

Affiliations:
  • Queen's University, Kingston, Canada
  • National Research Council Canada, Ottawa, ON, Canada (2010 - 2017)
  • University of Toronto, Department of Computer Science, ON, Canada (PhD 2010)
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (former)


According to our database1, Xiaodan Zhu authored at least 152 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Self-Consistent Decoding for More Factual Open Responses.
CoRR, 2024

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation.
CoRR, 2024

Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration.
CoRR, 2024

2023
Parameter-Efficient Methods for Metastases Detection from Clinical Notes.
CoRR, 2023

Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams.
CoRR, 2023

Ensemble Distillation for Unsupervised Constituency Parsing.
CoRR, 2023

ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection.
CoRR, 2023

Towards Legally Enforceable Hate Speech Detection for Public Forums.
CoRR, 2023

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks.
CoRR, 2023

Effectiveness of Data Augmentation for Prefix Tuning with Limited Data.
CoRR, 2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.
CoRR, 2023

Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Robust NLP for Finance (RobustFin).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

OpenJustice.ai: A Global Open-Source Legal Language Model.
Proceedings of the Legal Knowledge and Information Systems, 2023

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Legally Enforceable Hate Speech Detection for Public Forums.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge-Selective Pretraining for Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Guided Learning of Human Sensor Models with Low-Level Grounding.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Parameter-Efficient Methods for Metastases Detection fromClinical Notes.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Prototype-Based Interpretability for Legal Citation Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference.
Trans. Assoc. Comput. Linguistics, 2022

Learning Better Intent Representations for Financial Open Intent Classification.
CoRR, 2022

Developing Prefix-Tuning Models for Hierarchical Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Evaluating Explanation Correctness in Legal Decision Making.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

Parameter-Efficient Legal Domain Adaptation.
Proceedings of the Natural Legal Language Processing Workshop, 2022

Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Interpretable Low-Resource Legal Decision Making.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Enhancing emotion inference in conversations with commonsense knowledge.
Knowl. Based Syst., 2021

Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference.
CoRR, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking.
CoRR, 2021

Improving Text-to-SQL with Schema Dependency Learning.
CoRR, 2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing.
CoRR, 2021

Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem.
Proceedings of the IEEE International Conference on Acoustics, 2021

Exploring Decomposition for Table-based Fact Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Emotion Inference in Multi-Turn Conversations with Addressee-Aware Module and Ensemble Strategy.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

WinoLogic: A Zero-Shot Logic-based Diagnostic Dataset for Winograd Schema Challenge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Detecting Speaker Personas from Conversational Texts.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Conversation Disentanglement through Co-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Descriptive Image Captioning with Salient Retrieval Priors.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Class-wise Calibration: A Case Study on COVID-19 Hate Speech.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

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.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Enhancing Pretrained Models with Domain Knowledge.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Improving Depression Assessment With Multi-Task Learning From Speech and Text Information.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Enhancing Descriptive Image Captioning with Natural Language Inference.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Condition-Transforming Variational Autoencoder for Generating Diverse Short Text Conversations.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Generating diverse conversation responses by creating and ranking multiple candidates.
Comput. Speech Lang., 2020

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems.
CoRR, 2020

Deriving Commonsense Inference Tasks from Interactive Fictions.
CoRR, 2020

Improving Image Captioning with Better Use of Captions.
CoRR, 2020

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots.
CoRR, 2020

DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement.
CoRR, 2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
CoRR, 2020

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems.
CoRR, 2020

SemEval-2020 Task 5: Counterfactual Recognition.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

SemEval-2020 Task 4: Commonsense Validation and Explanation.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Capsule Deep Generative Model That Forms Parse Trees.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

End-to-End Transition-Based Online Dialogue Disentanglement.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Modal Fusion With Observation Points For Skeleton Action Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2020

Program Enhanced Fact Verification with Verbalization and Graph Attention Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Exploring End-to-End Differentiable Natural Logic Modeling.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Exploring Deep Anomaly Detection Methods Based on Capsule Net.
Proceedings of the Advances in Artificial Intelligence, 2020

Improving Image Captioning with Better Use of Caption.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamic Memory Induction Networks for Few-Shot Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Cross-Modal Context Graph for Visual Grounding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference.
CoRR, 2019

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge.
CoRR, 2019

Promoting Diversity for End-to-End Conversation Response Generation.
CoRR, 2019

Exploring deep neural networks for multitarget stance detection.
Comput. Intell., 2019

Deep Learning for Natural Language Inference.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Capsule Generative Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Induction Networks for Few-Shot Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Logographic Subword Model for Neural Machine Translation.
CoRR, 2018

Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Enhancing Sentence Embedding with Generalized Pooling.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Neural Natural Language Inference Models Enhanced with External Knowledge.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Natural Language Inference with External Knowledge.
CoRR, 2017

Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering.
CoRR, 2017

Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017

Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Dataset for Multi-Target Stance Detection.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Deep Learning for Semantic Composition.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Enhanced LSTM for Natural Language Inference.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts.
Lang. Resour. Evaluation, 2016

Distraction-Based Neural Networks for Document Summarization.
CoRR, 2016

Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference.
CoRR, 2016

SemEval-2016 Task 6: Detecting Stance in Tweets.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

DAG-Structured Long Short-Term Memory for Semantic Compositionality.
Proceedings of the NAACL HLT 2016, 2016

A Dataset for Detecting Stance in Tweets.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Distraction-Based Neural Networks for Modeling Document.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Extracting Discriminative Keyphrases with Learned Semantic Hierarchies.
Proceedings of the COLING 2016, 2016

2015
Measuring academic influence: Not all citations are equal.
J. Assoc. Inf. Sci. Technol., 2015

Sentiment, emotion, purpose, and style in electoral tweets.
Inf. Process. Manag., 2015

Long Short-Term Memory Over Tree Structures.
CoRR, 2015

A Deep Learning Model for Structured Outputs with High-order Interaction.
CoRR, 2015

Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

Long Short-Term Memory Over Recursive Structures.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Revisiting Word Embedding for Contrasting Meaning.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Sentiment Analysis of Short Informal Texts.
J. Artif. Intell. Res., 2014

Semantic Role Labeling of Emotions in Tweets.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Bilingual Sentiment Consistency for Statistical Machine Translation.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

An Empirical Study on the Effect of Negation Words on Sentiment.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
A Graph-Partitioning Framework for Aligning Hierarchical Topic Structures to Presentations.
IEEE Trans. Speech Audio Process., 2013

Detecting concept relations in clinical text: Insights from a state-of-the-art model.
J. Biomed. Informatics, 2013

À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge.
J. Am. Medical Informatics Assoc., 2013

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

2012
Ecological Validity and the Evaluation of Speech Summarization Quality.
Proceedings of Workshop on Evaluation Metrics and System Comparison for Automatic Summarization@NACCL-HLT 2012, 2012

Spotting keywords and sensing topic changes in speech.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012

An ecologically valid evaluation of speech summarization.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010.
J. Am. Medical Informatics Assoc., 2011

Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree-to-string Alignment Models.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

2010
Summarizing Spoken Documents Through Utterance Selection.
PhD thesis, 2010

Imposing Hierarchical Browsing Structures onto Spoken Documents.
Proceedings of the COLING 2010, 2010

2009
Summarizing multiple spoken documents: finding evidence from untranscribed audio.
Proceedings of the ACL 2009, 2009

Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data.
Proceedings of the ACL 2009, 2009

2008
Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels.
Proceedings of the Second Workshop on Syntax and Structure in Statistical Translation, 2008

Identifying salient utterances of online spoken documents using descriptive hypertext.
Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008

Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection.
Proceedings of the INTERSPEECH 2008, 2008

A Critical Reassessment of Evaluation Baselines for Speech Summarization.
Proceedings of the ACL 2008, 2008

2006
Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Summarization of spontaneous conversations.
Proceedings of the INTERSPEECH 2006, 2006

Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Using Outcome Polarity in Sentence Extraction for Medical Question-Answering.
Proceedings of the AMIA 2006, 2006

2005
Analysis of Polarity Information in Medical Text.
Proceedings of the AMIA 2005, 2005

2003
Single Character Chinese Named Entity Recognition.
Proceedings of the Second Workshop on Chinese Language Processing, 2003

2002
Temporal Representation and Classification in Chinese.
Int. J. Comput. Process. Orient. Lang., 2002


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