• Mamta, M. & Cocarascu, O. FactEval: Evaluating the Robustness of Fact Verification Systems in the Era of Large Language Models , 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025
• J. Li, Y. Zhou, J. Lu, G. Tyen, L. Gui, C. Aloisi and Y. He. Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time , arXiv:2502.19230, 2025.
• H. Yan, X. Cui, L. Yin, P. P. Liang, Y. He and Y. Wang. The Multi-Faceted Monosemanticity in Multimodal Representations , arXiv:2502.14888, 2025.
• A. Suzuki, Y. He, F. Tian and Z. Wang. Hallucinations are inevitable but statistically negligible , arXiv:2502.12187, 2025.
• H. Xu, S. Qi, J. Li, Y. Zhou, J. Du, C. Catmur and Y. He. EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States , arXiv:2503.03340, 2025.
• Z. Shen, H. Yan, L. Zhang, Z. Hu, Y. Du and Y. He. CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation , arXiv:2502.21074, 2025.
• L. Zhang, J. Wu, D. Zhou and Y. He. PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation , arXiv:2503.01303, 2025.
• J. Lu, J. Li, G. Shen, L. Gui, S. An, Y. He, D. Yin and X. Sun. RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following , arXiv:2502.11387, 2025.
• L. Zhang, Z. Gao, D. Zhou and Y. He. Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation , arXiv:2503.01315, 2025.
• S. Qi, R. Cao, Y. He and Z. Yuan. Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization , arXiv:2503.01670, 2025.
• Y. Zhang, Y. He and D. Zhou. Rehearse With User: Personalized Opinion Summarization via Role-Playing Based on Large Language Models , arXiv:2503.00449, 2025.
• J. Wu, W. Yin, Y. Jiang, Z. Wang, Z. Xi, R. Fang, L. Zhang, Y. He, D. Zhou, P. Xie and F. Huang. WebWalker: Benchmarking LLMs in Web Traversal , arXiv:2501.07572, 2025.
• Z. Hu, H. Yan, Q. Zhu, Z. Shen, Y. He and L. Gui. Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering , arXiv:2503.01606, 2025.
• S. Liang, L. Zhang, H. Zhu, W. Wang, Y. He and D. Zhou. RGAR: Recurrence Generation-Augmented Retrieval for Factual-Aware Medical Question Answering , arXiv:2502.13361, 2025.
• X. Tan, Y. Zhou, G. Pergola and Y. He. Cascading Large Language Models for Salient Event Graph Generation , 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025.
• Z. Sun, J. Li, G. Pergola and Y. He. ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language , The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
• J. Li, A. Bobrov, D. West, C. Aloisi and Y. He. An Automated Explainable Educational Assessment System Built on LLMs , The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
• C. Zhang, L. Zhang, J. Wu, Y. He and D. Zhou. Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment , The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
• L. Zhu, J. Wang and Y. He. LLMLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation , The 31st International Conference on Computational Linguistics (COLING), 2025.
• J. Lu, S. An, M. Zhang, Y. He, D. Yin and X. Sun. FIPO: Free-Form Instruction-Oriented Prompt Optimization with Preference Dataset and Modular Fine-Tuning Schema , The 31st International Conference on Computational Linguistics (COLING), 2025.
• Y. Zhang, P. Li, Y. Lai, Y. He and D. Zhou. LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization , The 31st International Conference on Computational Linguistics (COLING), 2025.

• Avyav K. Singh, Ekaterina Shutova, Helen Yannakoudakis. Learning New Tasks from a Few Examples with Soft-Label Prototypes. , In Proceedings of the 9th Workshop on Representation Learning for NLP, 2024.
• Georgios Velentzas, Andrew Caines, Rita Borgo, Erin Pacquetet, Clive Hamilton, Taylor Arnold, Diane Nicholls, Paula Buttery, Thomas Gaillat, Helen Yannakoudakis, and Nicolas Ballier. Logging Keystrokes in Writing by English Learners. , In Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024.
• Christopher Davis, Andrew Caines, Øistein Andersen, Shiva Taslimipoor, Helen Yannakoudakis, Zheng Yuan, Christopher Bryant, Marek Rei, and Paula Buttery. Prompting Open-Source and Commercial Language Models for Grammatical Error Correction of English Learner Text. , Findings of the 2024 Conference of the Association for Computational Linguistics.
• Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova. A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. , Findings of the North American Chapter of the Association for Computational Linguistics, 2024.
• Rago, A., Cocarascu, O., Oksanen, J. & Toni, F. Argumentative Review Aggregation and Dialogical Explanations , Artificial Intelligence, 340, 104291, Mar 2025
• Waller, M., Rodrigues, O., Lee, M. S. A. & Cocarascu, O. Bias Mitigation Methods: Applicability, Legality, and Recommendations for Development , Journal of Artificial Intelligence Research, 81, 27 Dec 2024, pp. 1043–1078
• Bezou Vrakatseli, E., Cocarascu, O. & Modgil, S. EthiX: A Dataset for Argument Scheme Classification in Ethical Debates , 27th European Conference on Artificial Intelligence (ECAI), 2024
• Akhtar, M., Subedi, N., Gupta, V., Tahmasebi, S., Cocarascu, O. & Simperl, E. ChartCheck: Explainable Fact-Checking over Real-World Chart Images , Findings of the Association for Computational Linguistics: ACL 2024, 2024
• J. Li, A. Bobrov, D. West, C. Aloisi and Y. He. AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment , arXiv:2410.09507, 2024.
• X. Wang, Y. Xiang, L. Gui and Y. He. GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA , arXiv:2410.04790, 2024.
• J. Wu, Z. Wang, L. Zhang, Y. Lai, Y. He and D. Zhou. SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation , arXiv:2412.13649, 2024.
• J. Yu, Y. Zhou, Y. He, N. L. Zhang and R. Silva. Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning , arXiv:2410.14375, 2024.
• H. Yan, Y. Xiang, G. Chen, Y. Wang, L. Gui and Y. He. Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective , The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
• I. Luis da Silva, H. Yan, L. Gui and Y. He. Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems , The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
• J. Lu, J. Li, S. An, M. Zhao, Y. He, D. Yin and X. Sun. Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence , The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
• Y. Zhou, J. Li, Y. Xiang, H. Yan, L. Gui and Y. He. The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis , The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
• J. Li, H. Xu, Z. Sun, Y. Zhou, D. West, C. Aloisi and Y. He. Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationales in Science Question Scoring , Findings of EMNLP, 2024.
• J. Wang, L. Zhu, A. Bhalerao and Y. He. Scene Graph Aided Radiology Report Generation , arXiv:2403.05687, 2024.
• S. Qi, Y. He and Z. Yuan. Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation , arXiv:2404.12041, 2024.
• Q. Zhu, R. Zhao, J. Du, L. Gui and Y. He. Questioning the Unknown: Optimising Multi-Agent Collaboration in Narrative-Driven Games , arXiv:2404.17662, 2024.
• H. Yan, Q. Zhu, X. Wang, L. Gui and Y. He. Mirror: A Multiple-Perspective Self-Reflection Method for Knowledge-Rich Reasoning , The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
• H. Xu, R. Zhao, L. Zhu, J. Du and Y. He. OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models , The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. [Website] [Dataset]
• A. Bobrov, D. Saltenis, Z. Sun, G. Pergola and Y. He. DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information , The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. [Video]
• X. Wang, H. Xu, L. Gui and Y. He. Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond , Findings of ACL, 2024.
• Y. Xiang, H. Yan, L. Gui and Y. He. Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models , Findings of ACL, 2024.
• R. Zhao, Q. Zhu, H. Xu, J. Li, Y. Zhou, Y. He and L. Gui. Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives , Findings of ACL, 2024.
• X. Tan, Y. Zhou, G. Pergola and Y. He. Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation , 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
• W. Zhang, L. Gui, R. Procter and Y. He. Multi-Layer Ranking with Large Language Models for News Source Recommendation , The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024.
• J. Dougrez-Lewis, M. Elahi Akhter, Y. He and M. Liakata. Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification , arXiv:2402.10735, 2024.
• H. Zhang, L. Gui, Y. Lei, Y. Zhai, Y. Zhang, Y. He, H. Wang, Y. Yu, K. F. Wong, B. Liang and R. Xu. COPR: Continual Human Preference Learning via Optimal Policy Regularization , arXiv:2402.14228, 2024.
• J. Dougrez-Lewis, E. Kochkina, M. Liakata and Y. He. Knowledge Graphs for Real-World Rumour Verification , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
• Z. Fang, Y. He and R. Procter. CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
• Y. Zhang, Y. Lai, Z. Wang, P. Li, D. Zhou and Y. He. Opinions Are Not Always Positive: Debiasing Opinion Summarization With Model-Specific and Model-Agnostic Methods , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
• Z. Sun, J. Li, G. Pergola, B. C. Wallace and Y. He. Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study , The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024.
• R. Zhao, W. Zhang, J. Li, L. Zhu, Y. Li, Y. He and L. Gui. NarrativePlay: Interactive Narrative Understanding , The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Malta, Mar. 2024.
• H. Zhang, Y. Lei, L. Gui, M. Yang, Y. He, H. Wang and R. Xu. CPPO: Continual Learning for Reinforcement Learning with Human Feedback , The 12th International Conference on Learning Representations (ICLR), 2024.
• S. H. Barlow, S. Chicklore, Y. He, S. Ourselin, T. Wagner, A. Barnes and G. J. Cook. Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning , BMC Medical Informatics and Decision Making, 24(1):396, 2024.
• H. Yan, L. Gui, M. Wang, K. Zhang and Y. He. Explainable Recommender with Geometric Information Bottleneck , IEEE Transactions on Knowledge and Data Engineering, to appear.
• J. Wang, A. Bhalerao, T. Yin, S. See and Y. He. CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation , IEEE Journal of Biomedical and Health Informatics, to appear.
• R. Zhao, W. Zhang, J. Li, L. Zhu, Y. Li, Y. He and L. Gui. NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing , The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.

• X. Wang, L. Gui and Y. He. A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports , The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 2023.
• Y. Zhu, J. Si, Y. Zhao, H. Zhu, D. Zhou and Y. He. EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification , The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 2023.
• L. Zhu, R. Zhao, L. Gui and Y. He. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding , Findings of EMNLP, 2023.
• Y. Zhou and Y. He. Causal Inference from Text: Unveiling Interactions between Variables , Findings of EMNLP, 2023.
• J. Li, L. Gui, Y. Zhou, D. West, C. Aloisi and Y. He. Exploring Explainable Automated Student Answer Assessment with ChatGPT , Findings of EMNLP, 2023.
• H. Yan, L. Kong, L. Gui, Y. Chi, E. Xing, Y. He and K. Zhang. Counterfactual Generation with Identifiability Guarantees , The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, US, 2023.
• J. Wang, A. Bhalerao, L. Zhu and Y. He. Can Prompt Learning Benefit Radiology Report Generation? , arXiv:2308.16269, 2023.
• J. Lu, S. An, M. Lin, G. Pergola, Y. He, D. Yin, X. Sun and Y. Wu. MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation , arXiv:2308.08239, 2023.
• J. Si, Y. Zhu, X. Shi, D. Zhou and Y. He. Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources , arXiv:2307.12131, 2023.
• J. Li, R. Zhao, Y. He and L. Gui. OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach , arXiv:2305.14973, 2023.
• J. Lu, G. Pergola, L. Gui and Y. He. Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering , arXiv:2305.04522, 2023.
• J. Li, Z. Sun, B. Liang, L. Gui and Y. He. CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models , The 39th Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, Aug. 2023.
• X. Wang, L. Gui and Y. He. Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization , The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, Jul. 2023.
• L. Zhu, R. Zhao, G. Pergola and Y. He. Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions , Findings of ACL, 2023.
• R. Zhao, L. Gui and Y. He. CONE: Unsupervised Contrastive Opinion Extraction , The 46th International ACM SIGIR Conference (SIGIR), July 2023.
• W. Zhang, L. Gui, R. Procter and Y. He. NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking , The 17th International AAAI Conference on Web and Social Media (News Media and Computational Journalism Workshop), Jun. 2023.
• R. Procter, M. Arana Catania, Y. He, M. Liakata, A. Zubiaga, E. Kochkina, R. Zhao. Some Observations on Fact-Checking Work with Implications for Computational Support , The 17th International AAAI Conference on Web and Social Media (News Media and Computational Journalism Workshop), Jun. 2023.
• R. Zhao, M. Arana Catania, L. Zhu, E. Kochkina, L. Gui, A. Zubiaga, R. Procter, M. Liakata and Y. He. PANACEA: An Automated Misinformation Detection System on COVID-19 , EACL system demonstration track, 2023.
• X. Tan, G. Pergola and Y. He. Event Temporal Relation Extraction with Bayesian Translational Model , The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), May 2023.
• Z. Fang, Y. He, R. Procter, L. A. Alqazlan and D. Liu. A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System , The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), May 2023.
• J. Lu, J. Li, B. C. Wallace, Y. He and G. Pergola. NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization , Findings of EACL, 2023.
• H. Li, H. Yan, Y. Li, L. Qian, Y. He and L. Gui. Distinguishability Calibration to In-Context Learning , Findings of EACL, 2023.
• R. Zhao, L. Gui, H. Yan and Y. He. Tracking Brand-Associated Polarity-Bearing Topics in User Reviews , Transactions of the Association for Computational Linguistics, Vol. 11, pp. 404–418, 2023.
• E. Kochkina, T. Hossain, R. L. Logan, M. Arana-Catania, R. Procter, A. Zubiaga, S. Singh, Y. He and M. Liakata. Evaluating the Generalisability of Neural Rumour Verification Models , Information Processing & Management, 60(1), 2023.
• S. Gao, C. Gao, Y. He, J. Zeng, L. Nie, X. Xia and M. Lyu. Code Structure Guided Transformer for Source Code Summarization , ACM Transactions on Software Engineering and Methodology, 32(1): 1–32, 2023.
• B. Liang, R. Yin, J. Du, L. Gui, Y. He, M. Yang and R. Xu. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis , IEEE Transactions in Affective Computing, vol. 14, pp. 279–293, 2023.
• B. Liang, X. Li, L. Gui, Y. Fu, Y. He, M. Yang and R. Xu. Few-Shot Aspect Category Sentiment Analysis via Meta-Learning , ACM Transactions on Information Systems, 41(1): 1–31, 2023.

• Z. Sun, J. Li, G. Pergola, B. C. Wallace, B. John, N. Greene, J. Kim and Y. He. PHEE: A Dataset for Pharmacovigilance Event Extraction from Text , The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 2022.
• J. Lu, X. Tan, G. Pergola, L. Gui and Y. He. Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation , Findings of EMNLP, 2022.
• H. Yan, L. Gui and Y. He. Hierarchical Interpretation of Neural Text Classification , Computational Linguistics, 48(4): 987–1020, 2022.
• J. Wang, A. Bhalerao and Y. He. Cross-modal Prototype Driven Network for Radiology Report Generation , The 17th European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, Oct. 2022.
• H. Yan, L. Gui and Y. He. Addressing Token Uniformity in Transformers via Singular Value Transformation , The 38th Conference on Uncertainty in Artificial Intelligence (UAI), Eindhoven, Netherlands, Aug. 2022.
• R. Adewoyin, R. Dutta and Y. He. RSTGen: Imbuing Fine-Grained Interpretable Control into Long-Form Text Generators , The 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
• L. Zhu, Z. Fang, G. Pergola, R. Procter and Y. He. Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media , The 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
• M. Arana Catania, E. Kochkina, A. Zubiaga, M. Liakata, R. Procter and Y. He. Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims , The 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022. [dataset]
• B. Liang, Q. Zhu, X. Li, M. Yang, L. Gui, Y. He and R. Xu. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection , The 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
• B. Liang, C. Lou, X. Li, M. Yang, L. Gui, Y. He, W. Pei and R. Xu. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network , The 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
• J. Dougrez-Lewis, M. Arana Catania, E. Kochkina, M. Liakata and Y. He. PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence , The 5th FEVER Workshop (co-located with ACL), May 2022.
• S. Salawu, J. Lumsden and Y. He. A Mobile-Based System for Preventing Online Abuse and Cyberbullying , International Journal of Bullying Prevention, to appear.
• B. Liang, Z. Chen, L. Gui, Y. He, M. Yang and R. Xu. Zero-Shot Stance Detection via Contrastive Learning , The Web Conference (WWW), Apr. 2022.

• L. Gui and Y. He. Understanding Patient Reviews with Minimum Supervision , Artificial Intelligence in Medicine, to appear.
• X. Tan, G. Pergola and Y. He. Extracting Event Temporal Relations via Hyperbolic Geometry , Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
• D. Zhou, J. Wang, L. Zhang and Y. He. Implicit Sentiment Analysis with Event-Centered Text Representation , Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
• C. Ye, L. Zhang, D. Zhou, Y. He and J. Wu. Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs , Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
• L. Zhang, D. Zhou, C. Lin and Y. He. A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation , Findings of EMNLP, 2021.
• W. Zhang, L. Gui and Y. He. Supervised Contrastive Learning for Multi-modal Unreliable News Detection in COVID-19 Pandemic , The 30th ACM International Conference on Information and Knowledge Management (CIKM), Nov. 2021.
• H. Yan, L. Gui, G. Pergola and Y. He. Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction , The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
• L. Zhu, G. Pergola, L. Gui, D. Zhou and Y. He. Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection , The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
• J. Si, D. Zhou, T. Li, X. Shi and Y. He. Topic-aware Evidence Reasoning and Stance-aware Aggregating for Fact Verification , The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
• J. Dougrez-Lewis, E. Kochkina, M. Liakata and Y. He. Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification , Findings of ACL, 2021.
• Z. Fang, Y. He and R. Procter. Query-Driven Topic Model , Findings of ACL, 2021.
• S. Salawu, J. Lumsden and Y. He. A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection , Proceedings of the 5th Workshop on Online Abuse and Harms, co-located with ACL, 2021. [Dataset]
• C. Lou, B. Liang, L. Gui, Y. He, Y. Dang and R. Xu. Affective Dependency Graph for Sarcasm Detection , The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Jul. 2021.
• B. Liang, R. Yin, J. Du, L. Gui, Y. He, M. Yang and R. Xu. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis , IEEE Transactions in Affective Computing, to appear.
• D. Zhou, K. Sun, M. Hu and Y. He. Image Generation from Text with Entity Information Fusion , Knowledge-Based Systems, Vol. 227, 107200, 2021.
• G. Pergola, L. Gui and Y. He. A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews , Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jun. 2021.
• B. Liang, Y. Fu, L. Gui, M. Yang, J. Du, Y. He and R. Xu. Target-adaptive Graph for Cross-target Stance Detection , The Web Conference (WWW), Apr. 2021.
• R. Zhao, L. Gui, G. Pergola and Y. He. Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews , The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Apr. 2021.
• G. Pergola, E. Kochkina, L. Gui, M. Liakata and Y. He. Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies , The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Apr. 2021.
• L. Zhang, D. Zhou, Y. He and Z. Yang. MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces , The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
• D. Zhou, M. Zhang, L. Zhang and Y. He. A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness, The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
• M. Arana-Catania, F. A. Van Lier, R. Procter, N. Tkachenko, Y. He, A. Zubiaga and M. Liakata. Citizen Participation and Machine Learning for a Better Democracy , Digital Government: Research and Practice, to appear.
• D. Zhou, M. Zhang, Y. Yang and Y. He. Hierarchical State Recurrent Neural Network for Social Emotion Ranking , Computer Speech & Language, Vol. 68, 101177, 2021.
• L. Zhang, C. Lin, D. Zhou, Y. He and M. Zhang. A Bayesian End-to-End Model with Estimated Uncertainties for Simple Question Answering over Knowledge Bases , Computer Speech & Language, Vol. 66, 101167, 2021.