Dr Lin Gui
Lecturer in Natural Language Processing
Research interests
- Computer science
Contact details
Biography
Lin is a Lecturer (Assistant Professor) in Natural Language Processing in the Department of Informatics, King's College London. Before joining King's, he was an Assistant Professor (2021-2022) and Marie Curie Research Fellow (2018-2020) at the University of Warwick.
Research interests
- Model Interpretation
- Topic Modelling
- Transfer Learning
Further information
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Zhu, Q. Z., Zhao, R., Yan, H., He, Y., Chen, Y. & Gui, L., 2025, Forty-second International Conference on Machine Learning. ICML 2025.. PMLRResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering
Hu, Z., Yan, H., Zhu, Q. Z., Shen, Z., He, Y. & Gui, L., 2025, The 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025 - Proceedings of the Conference. Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
Lu, J., Li, J., Shen, G., Gui, L., An, S., He, Y., Yin, D. & Sun, X., 2025.Research output: Contribution to conference types › Paper › peer-review
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
Li, A., Zhao, J., Gui, L., Liang, B., Wang, H., Zeng, X., Liang, X., Wong, K.-F. & Xu, R., 29 Apr 2025, 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Centrality-guided Pre-training for Graph
Liang, B., Chen, S., Gui, L., Wang, H., Yu, Y., Xu, R. & Wong, K.-F., 24 Apr 2025, The Thirteenth International Conference on Learning Representations (ICLR).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
Zhao, R., Zhang, W., Zhu, L., Li, Y., He, Y. & Gui, L., 24 Mar 2024, Proceedings of the AAAI Conference on Artificial Intelligence.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Zhou, Y., Li, J., Xiang, Y., Yan, H., Gui, L. & He, Y., 1 Nov 2024, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Miami, Florida, USA: Association for Computational Linguistics, p. 14365-14378 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Yang, S., Liang, B., Gui, L., Liu, A., Yao, X. & Zhang, X., 21 Jul 2024.Research output: Contribution to conference types › Paper › peer-review
Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection
Liang, B., Gui, L., He, Y., Cambria, E. & Xu, R., 21 Mar 2024, In: IEEE Transactions on Affective Computing. 15, 4, p. 1874-1888 15 p.Research output: Contribution to journal › Article › peer-review
CPPO: Continual Learning for Reinforcement Learning with Human Feedback
Zhang, H., Yu, L., Gui, L., Yang, M., He, Y., Wang, H. & Xu, R., 7 May 2024.Research output: Contribution to conference types › Paper › peer-review
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
Xiang, Y., Yan, H., Gui, L. & He, Y., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 6467-6481 15 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Multi-Layer Ranking with Large Language Models for News Source Recommendation
Zhang, W., Gui, L., Procter, R. & He, Y., 10 Jul 2024, SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2537-2542 6 p. (SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
Wang, X., Xu, H., Gui, L. & He, Y., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 8324-8340 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
Yan, H., Zhu, Q., Wang, X., Gui, L. & He, Y., 2024, Long Papers. Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 7086-7103 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
Da Silva, I. L., Yan, H., Gui, L. & He, Y., 2024, The 2024 Conference on Empirical Methods in Natural Language Processing.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
Yan, H., Xiang, Y., Chen, G., Wang, Y., Gui, L. & He, Y., 2024.Research output: Contribution to conference types › Paper › peer-review
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
Zhao, R., Zhu, Q. Z., Xu, H., Li, J., Zhou, Y., He, Y. & Gui, L., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 7618-7638 21 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports
Wang, X., Gui, L. & He, Y., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 13215-13229 15 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
Zhao, R., Zhang, W., Li, J., Zhu, L., Li, Y., He, Y. & Gui, L., 25 Mar 2024, The 38th Annual AAAI Conference on Artificial Intelligence. 21 ed. AAAI Press, Vol. 38. p. 23859-23861 3 p. (Proceedings of the AAAI Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Explainable Recommender with Geometric Information Bottleneck
Yan, H., Gui, L., Wang, M., Zhang, K. & He, Y., 26 Dec 2023, (Accepted/In press) In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING.Research output: Contribution to journal › Article › peer-review
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding
Zhu, L., Zhao, R., Gui, L. & He, Y., 7 Oct 2023, (Accepted/In press) Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL)Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Neural topic model with reinforcement learning
Gui, L., Leng, J., Pergola, G., Zhou, Y., Xu, R. & He, Y., 2019, p. 3478-3483. 6 p.Research output: Contribution to conference types › Paper › peer-review
Ensemble with estimation: seeking for optimization in class noisy data
Xu, R., Wen, Z., Gui, L., Lu, Q., Li, B. & Wang, X., 1 Feb 2020, In: International Journal of Machine Learning and Cybernetics. 11, 2, p. 231-248 18 p.Research output: Contribution to journal › Article › peer-review
Commonsense Knowledge Enhanced Memory Network for Stance Classification
Du, J., Gui, L., Xu, R., Xia, Y., Wang, X. & Cambria, E., 1 Jul 2020, In: IEEE Intelligent Systems. 35, 4, p. 102-109 8 p., 9179107.Research output: Contribution to journal › Article › peer-review
Boosting low-resource biomedical QA via entity-aware masking strategies
Pergola, G., Kochkina, E., Gui, L., Liakata, M. & He, Y., 2021, p. 1977-1985. 9 p.Research output: Contribution to conference types › Paper › peer-review
Target-adaptive graph for cross-target stance detection
Liang, B., Fu, Y., Gui, L., Yang, M., Du, J., He, Y. & Xu, R., 19 Apr 2021, p. 3453-3464. 12 p.Research output: Contribution to conference types › Paper › peer-review
Transition-based directed graph construction for emotion-cause pair extraction
Fan, C., Yuan, C., Du, J., Gui, L., Yang, M. & Xu, R., 2020, p. 3707-3717. 11 p.Research output: Contribution to conference types › Paper › peer-review
Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis
Liang, B., Yin, R., Gui, L., Du, J., He, Y. & Xu, R., 19 Oct 2020, p. 825-834. 10 p.Research output: Contribution to conference types › Paper › peer-review
Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
Liang, B., Luo, W., Li, X., Gui, L., Yang, M., Yu, X. & Xu, R., 26 Oct 2021, p. 3242-3247. 6 p.Research output: Contribution to conference types › Paper › peer-review
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
Liang, B., Su, H., Yin, R., Gui, L., Yang, M., Zhao, Q., Yu, X. & Xu, R., 2021, p. 208-218. 11 p.Research output: Contribution to conference types › Paper › peer-review
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering
Lu, J., Pergola, G., Gui, L., Li, B. & He, Y., 2020, p. 2547-2560. 14 p.Research output: Contribution to conference types › Paper › peer-review
Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
Liang, B., Yin, R., Gui, L., Du, J. & Xu, R., 2020, p. 150-161. 12 p.Research output: Contribution to conference types › Paper › peer-review
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
Pergola, G., Gui, L. & He, Y., 2021, p. 2870-2883. 14 p.Research output: Contribution to conference types › Paper › peer-review
Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement
Fan, C., Yuan, C., Gui, L., Zhang, Y. & Xu, R., 2021, In: IEEE/ACM Transactions on Audio Speech and Language Processing. 29, p. 2339-2350 12 p., 9457144.Research output: Contribution to journal › Article › peer-review
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
Liang, B., Su, H., Gui, L., Cambria, E. & Xu, R., 8 Nov 2021, In: Knowledge-Based systems. 235, 107643.Research output: Contribution to journal › Article › peer-review
Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis
Liang, B., Yin, R., Du, J., Gui, L., He, Y., Yang, M. & Xu, R., 1 Jan 2023, In: IEEE transactions on affective computing. 14, 1, p. 279-293 15 p.Research output: Contribution to journal › Article › peer-review
Sememe knowledge and auxiliary information enhanced approach for sarcasm detection
Wen, Z., Gui, L., Wang, Q., Guo, M., Yu, X., Du, J. & Xu, R., May 2022, In: INFORMATION PROCESSING AND MANAGEMENT. 59, 3, 102883.Research output: Contribution to journal › Article › peer-review
Few-shot Aspect Category Sentiment Analysis via Meta-learning
Liang, B., Li, X., Gui, L., Fu, Y., He, Y., Yang, M. & Xu, R., 31 Jan 2023, In: ACM TRANSACTIONS ON INFORMATION SYSTEMS. 41, 1, 31 p., 22.Research output: Contribution to journal › Article › peer-review
Adversarial learning of poisson factorisation model for gauging brand sentiment in user reviews
Zhao, R., Gui, L., Pergola, G. & He, Y., 2021, p. 2341-2351. 11 p.Research output: Contribution to conference types › Paper › peer-review
Affective Dependency Graph for Sarcasm Detection
Lou, C., Liang, B., Gui, L., He, Y., Dang, Y. & Xu, R., 11 Jul 2021, In: SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 1844-1849 6 p.Research output: Contribution to journal › Article › peer-review
Counterfactual Generation with Identifiability Guarantees
Yan, H., Kong, L., Gui, L., Chi, Y., Xing, E., He, Y. & Zhang, K., 2023.Research output: Contribution to conference types › Paper › peer-review
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Li, J., Sun, Z., Liang, B., Gui, L. & He, Y., 2023, In: Proceedings of Machine Learning Research. 216, p. 1253-1262 10 p.Research output: Contribution to journal › Conference paper › peer-review
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
Wang, X., Gui, L. & He, Y., 2023, p. 10118-10133. 16 p.Research output: Contribution to conference types › Paper › peer-review
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection
Wen, Z., Wang, R., Luo, X., Wang, Q., Liang, B., Du, J., Yu, X., Gui, L. & Xu, R., Dec 2023, In: International Journal of Machine Learning and Cybernetics. 14, 12, p. 4119-4134 16 p.Research output: Contribution to journal › Article › peer-review
Uncertainty Quantification for Text Classification
Zhang, D., Sensoy, M., Makrehchi, M., Taneva-Popova, B., Gui, L. & He, Y., 18 Jul 2023, SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, p. 3426-3429 4 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Time Machine: Generative Real-Time Model For Failure (and Lead Time) Prediction in HPC Systems
Alharthi, K. A., Jhumka, A., Di, S., Gui, L., Cappello, F. & McIntosh-Smith, S., 27 Jun 2023, The 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks. IEEE PressResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Cone: Unsupervised Contrastive Opinion Extraction
Zhao, R., Gui, L. & He, Y., Jul 2023, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACMResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
PANACEA: An Automated Misinformation Detection System on COVID-19
Zhao, R., Arana-catania, M., Zhu, L., Kochkina, E., Gui, L., Zubiaga, A., Procter, R., Liakata, M. & He, Y., May 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics (ACL), p. 67–74Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
Zhang, W., Gui, L. & He, Y., 4 Sept 2021, 30th ACM International Conference on Information and Knowledge Management: ACM.Research output: Working paper/Preprint › Preprint
Research
Natural Language Processing
The Natural Language Processing (NLP) Group at KCL is comprised of PhD and postdoctoral students, professors and others who are interested in solving computational problems related to the understanding of human language
Human Centred Computing Research
The group is concerned with the design, development and evaluation of human computer systems.
Features
Meet our new academic staff from the Department of Informatics
We interview some of our academics who started September 2023.
Modelling virus outbreaks
When Epidemics Die before Developing and the Surprising Effect of Travelling on Disease Spread
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Zhu, Q. Z., Zhao, R., Yan, H., He, Y., Chen, Y. & Gui, L., 2025, Forty-second International Conference on Machine Learning. ICML 2025.. PMLRResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering
Hu, Z., Yan, H., Zhu, Q. Z., Shen, Z., He, Y. & Gui, L., 2025, The 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025 - Proceedings of the Conference. Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
Lu, J., Li, J., Shen, G., Gui, L., An, S., He, Y., Yin, D. & Sun, X., 2025.Research output: Contribution to conference types › Paper › peer-review
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
Li, A., Zhao, J., Gui, L., Liang, B., Wang, H., Zeng, X., Liang, X., Wong, K.-F. & Xu, R., 29 Apr 2025, 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Centrality-guided Pre-training for Graph
Liang, B., Chen, S., Gui, L., Wang, H., Yu, Y., Xu, R. & Wong, K.-F., 24 Apr 2025, The Thirteenth International Conference on Learning Representations (ICLR).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
Zhao, R., Zhang, W., Zhu, L., Li, Y., He, Y. & Gui, L., 24 Mar 2024, Proceedings of the AAAI Conference on Artificial Intelligence.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Zhou, Y., Li, J., Xiang, Y., Yan, H., Gui, L. & He, Y., 1 Nov 2024, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Miami, Florida, USA: Association for Computational Linguistics, p. 14365-14378 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Yang, S., Liang, B., Gui, L., Liu, A., Yao, X. & Zhang, X., 21 Jul 2024.Research output: Contribution to conference types › Paper › peer-review
Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection
Liang, B., Gui, L., He, Y., Cambria, E. & Xu, R., 21 Mar 2024, In: IEEE Transactions on Affective Computing. 15, 4, p. 1874-1888 15 p.Research output: Contribution to journal › Article › peer-review
CPPO: Continual Learning for Reinforcement Learning with Human Feedback
Zhang, H., Yu, L., Gui, L., Yang, M., He, Y., Wang, H. & Xu, R., 7 May 2024.Research output: Contribution to conference types › Paper › peer-review
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
Xiang, Y., Yan, H., Gui, L. & He, Y., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 6467-6481 15 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Multi-Layer Ranking with Large Language Models for News Source Recommendation
Zhang, W., Gui, L., Procter, R. & He, Y., 10 Jul 2024, SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2537-2542 6 p. (SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
Wang, X., Xu, H., Gui, L. & He, Y., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 8324-8340 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
Yan, H., Zhu, Q., Wang, X., Gui, L. & He, Y., 2024, Long Papers. Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 7086-7103 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
Da Silva, I. L., Yan, H., Gui, L. & He, Y., 2024, The 2024 Conference on Empirical Methods in Natural Language Processing.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
Yan, H., Xiang, Y., Chen, G., Wang, Y., Gui, L. & He, Y., 2024.Research output: Contribution to conference types › Paper › peer-review
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
Zhao, R., Zhu, Q. Z., Xu, H., Li, J., Zhou, Y., He, Y. & Gui, L., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 7618-7638 21 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports
Wang, X., Gui, L. & He, Y., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 13215-13229 15 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
Zhao, R., Zhang, W., Li, J., Zhu, L., Li, Y., He, Y. & Gui, L., 25 Mar 2024, The 38th Annual AAAI Conference on Artificial Intelligence. 21 ed. AAAI Press, Vol. 38. p. 23859-23861 3 p. (Proceedings of the AAAI Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Explainable Recommender with Geometric Information Bottleneck
Yan, H., Gui, L., Wang, M., Zhang, K. & He, Y., 26 Dec 2023, (Accepted/In press) In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING.Research output: Contribution to journal › Article › peer-review
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding
Zhu, L., Zhao, R., Gui, L. & He, Y., 7 Oct 2023, (Accepted/In press) Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL)Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Neural topic model with reinforcement learning
Gui, L., Leng, J., Pergola, G., Zhou, Y., Xu, R. & He, Y., 2019, p. 3478-3483. 6 p.Research output: Contribution to conference types › Paper › peer-review
Ensemble with estimation: seeking for optimization in class noisy data
Xu, R., Wen, Z., Gui, L., Lu, Q., Li, B. & Wang, X., 1 Feb 2020, In: International Journal of Machine Learning and Cybernetics. 11, 2, p. 231-248 18 p.Research output: Contribution to journal › Article › peer-review
Commonsense Knowledge Enhanced Memory Network for Stance Classification
Du, J., Gui, L., Xu, R., Xia, Y., Wang, X. & Cambria, E., 1 Jul 2020, In: IEEE Intelligent Systems. 35, 4, p. 102-109 8 p., 9179107.Research output: Contribution to journal › Article › peer-review
Boosting low-resource biomedical QA via entity-aware masking strategies
Pergola, G., Kochkina, E., Gui, L., Liakata, M. & He, Y., 2021, p. 1977-1985. 9 p.Research output: Contribution to conference types › Paper › peer-review
Target-adaptive graph for cross-target stance detection
Liang, B., Fu, Y., Gui, L., Yang, M., Du, J., He, Y. & Xu, R., 19 Apr 2021, p. 3453-3464. 12 p.Research output: Contribution to conference types › Paper › peer-review
Transition-based directed graph construction for emotion-cause pair extraction
Fan, C., Yuan, C., Du, J., Gui, L., Yang, M. & Xu, R., 2020, p. 3707-3717. 11 p.Research output: Contribution to conference types › Paper › peer-review
Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis
Liang, B., Yin, R., Gui, L., Du, J., He, Y. & Xu, R., 19 Oct 2020, p. 825-834. 10 p.Research output: Contribution to conference types › Paper › peer-review
Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
Liang, B., Luo, W., Li, X., Gui, L., Yang, M., Yu, X. & Xu, R., 26 Oct 2021, p. 3242-3247. 6 p.Research output: Contribution to conference types › Paper › peer-review
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
Liang, B., Su, H., Yin, R., Gui, L., Yang, M., Zhao, Q., Yu, X. & Xu, R., 2021, p. 208-218. 11 p.Research output: Contribution to conference types › Paper › peer-review
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering
Lu, J., Pergola, G., Gui, L., Li, B. & He, Y., 2020, p. 2547-2560. 14 p.Research output: Contribution to conference types › Paper › peer-review
Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
Liang, B., Yin, R., Gui, L., Du, J. & Xu, R., 2020, p. 150-161. 12 p.Research output: Contribution to conference types › Paper › peer-review
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
Pergola, G., Gui, L. & He, Y., 2021, p. 2870-2883. 14 p.Research output: Contribution to conference types › Paper › peer-review
Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement
Fan, C., Yuan, C., Gui, L., Zhang, Y. & Xu, R., 2021, In: IEEE/ACM Transactions on Audio Speech and Language Processing. 29, p. 2339-2350 12 p., 9457144.Research output: Contribution to journal › Article › peer-review
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
Liang, B., Su, H., Gui, L., Cambria, E. & Xu, R., 8 Nov 2021, In: Knowledge-Based systems. 235, 107643.Research output: Contribution to journal › Article › peer-review
Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis
Liang, B., Yin, R., Du, J., Gui, L., He, Y., Yang, M. & Xu, R., 1 Jan 2023, In: IEEE transactions on affective computing. 14, 1, p. 279-293 15 p.Research output: Contribution to journal › Article › peer-review
Sememe knowledge and auxiliary information enhanced approach for sarcasm detection
Wen, Z., Gui, L., Wang, Q., Guo, M., Yu, X., Du, J. & Xu, R., May 2022, In: INFORMATION PROCESSING AND MANAGEMENT. 59, 3, 102883.Research output: Contribution to journal › Article › peer-review
Few-shot Aspect Category Sentiment Analysis via Meta-learning
Liang, B., Li, X., Gui, L., Fu, Y., He, Y., Yang, M. & Xu, R., 31 Jan 2023, In: ACM TRANSACTIONS ON INFORMATION SYSTEMS. 41, 1, 31 p., 22.Research output: Contribution to journal › Article › peer-review
Adversarial learning of poisson factorisation model for gauging brand sentiment in user reviews
Zhao, R., Gui, L., Pergola, G. & He, Y., 2021, p. 2341-2351. 11 p.Research output: Contribution to conference types › Paper › peer-review
Affective Dependency Graph for Sarcasm Detection
Lou, C., Liang, B., Gui, L., He, Y., Dang, Y. & Xu, R., 11 Jul 2021, In: SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 1844-1849 6 p.Research output: Contribution to journal › Article › peer-review
Counterfactual Generation with Identifiability Guarantees
Yan, H., Kong, L., Gui, L., Chi, Y., Xing, E., He, Y. & Zhang, K., 2023.Research output: Contribution to conference types › Paper › peer-review
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Li, J., Sun, Z., Liang, B., Gui, L. & He, Y., 2023, In: Proceedings of Machine Learning Research. 216, p. 1253-1262 10 p.Research output: Contribution to journal › Conference paper › peer-review
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
Wang, X., Gui, L. & He, Y., 2023, p. 10118-10133. 16 p.Research output: Contribution to conference types › Paper › peer-review
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection
Wen, Z., Wang, R., Luo, X., Wang, Q., Liang, B., Du, J., Yu, X., Gui, L. & Xu, R., Dec 2023, In: International Journal of Machine Learning and Cybernetics. 14, 12, p. 4119-4134 16 p.Research output: Contribution to journal › Article › peer-review
Uncertainty Quantification for Text Classification
Zhang, D., Sensoy, M., Makrehchi, M., Taneva-Popova, B., Gui, L. & He, Y., 18 Jul 2023, SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, p. 3426-3429 4 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Time Machine: Generative Real-Time Model For Failure (and Lead Time) Prediction in HPC Systems
Alharthi, K. A., Jhumka, A., Di, S., Gui, L., Cappello, F. & McIntosh-Smith, S., 27 Jun 2023, The 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks. IEEE PressResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Cone: Unsupervised Contrastive Opinion Extraction
Zhao, R., Gui, L. & He, Y., Jul 2023, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACMResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
PANACEA: An Automated Misinformation Detection System on COVID-19
Zhao, R., Arana-catania, M., Zhu, L., Kochkina, E., Gui, L., Zubiaga, A., Procter, R., Liakata, M. & He, Y., May 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics (ACL), p. 67–74Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
Zhang, W., Gui, L. & He, Y., 4 Sept 2021, 30th ACM International Conference on Information and Knowledge Management: ACM.Research output: Working paper/Preprint › Preprint
Research
Natural Language Processing
The Natural Language Processing (NLP) Group at KCL is comprised of PhD and postdoctoral students, professors and others who are interested in solving computational problems related to the understanding of human language
Human Centred Computing Research
The group is concerned with the design, development and evaluation of human computer systems.
Features
Meet our new academic staff from the Department of Informatics
We interview some of our academics who started September 2023.
Modelling virus outbreaks
When Epidemics Die before Developing and the Surprising Effect of Travelling on Disease Spread