Publications by Boyang Liu

Papers by Boyang Liu at NaCTeM, newest first. All publications

2025 | 2024 | 2023 | 2022

7 publications

2025

Song, Y., Liu, B., Gutiérrez-Basulto, V., Hu, Z., Xie, Q., Peng, M., Ananiadou, S. and Pan, J. Z., Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs, in: arXiv, 2025 [DOI] [URL]

2024

Liu, Z., Liu, B, Thompson, P., Yang, K and Ananiadou, S., ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, in: Proceedings of the 13th International Conference on Prestigious Applications of Intelligent Systems (PAIS-2024), pages 4649–4656, 2024 [DOI] [URL]
Zhang, T., Yang, K, Ji, S., Liu, B, Xie, Q. and Ananiadou, S., SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24), pages 1136–1141, 2024 [URL]

2023

Liu, B., Schlegel, V., Batista-Navarro, R. T. and Ananiadou, S., Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pages 10846–10858, 2023 [DOI] [URL] [Pure]
Liu, B., Schlegel, V., Thompson, P., Batista-Navarro, R. T. and Ananiadou, S., Global information-aware argument mining based on a top-down multi-turn QA model, in: Information Processing & Management, 2023 [DOI] [URL] [Pure]
Liu, B., Schlegel, V., Batista-Navarro, R. T. and Ananiadou, S., Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature, in: Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), pages 54–60, 2023 [DOI] [URL] [Pure]

2022

Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, pages 6162-6169, 2022 [URL]