[1] Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, and Jun Zhao. EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. In Findings of the Association for Computational Linguistics, 10038–10052. (ACL 2023, CCF A)

[2] Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan, Hongyan Zhao, and Yueping Zhang. A Frame-based Sentence Representation for Machine Reading Comprehension. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 891–896. (ACL 2020, CCF A)

[3] Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, and Hongye Tan. Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension. In Proceedings of the 28th International Conference on Computational Linguistics, 2635–2641. (COLING 2020, CCF B)

[4] Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan. Frame-based Multi-level Semantics Representation for Text Matching [J]. Knowledge-Based Systems, 2021, 232: 107454. (SCI一区).

[5] Shaoru Guo, Yong Guan, Hongye Tan, Ru Li, Xiaoli Li. Frame-based Neural Network for Machine Reading Comprehension [J]. Knowledge-Based Systems, 2021, 219: 106889. (SCI一区).

[6] Shaoru Guo, Yong Guan, Ru Li. Chinese word similarity computing based on combination strategy. In Proceedings of the 5th CCF Conference on Natural Language Processing and Chinese Computing, 744-752. (NLPCC2016, CCF C).

[7] Shaoru Guo, Hu Zhang, Yili Qian, Ru Li. Semantic relevancy between sentences for Chinese reading comprehension on college entrance examinations. Journal of Tsinghua University (Science and Technology), 2017, 57(6): 575-579, 585. (EI)

[8] Shaoru Guo, Yong Guan, Ru Li. Multi-Perspective Frame Element Representation for Machine Reading Comprehension. In Proceedings of the China Conference on Knowledge Graph and Semantic Computing, 123-134. (CCKS 2023)

[9] Chenhao Wang#, Shaoru Guo#, Zhitao He, Zhipeng Xue, Yubo Chen, Kang Liu, Jun Zhao. CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge. ISWC 2023 Posters and Demos: 22nd International Semantic Web Conference. (#Equal contribution)  (ISWC 2023, CCF B)

[10] Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, and Hu Zhang. Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2522–2529. (EMNLP 2021, CCF B)

[11] Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, and Hongye Tan. Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 4045–4052. (EMNLP 2021, CCF B)

[12] Yubo Chen, Shaoru Guo, Kang Liu, and Jun Zhao. 大模型与知识图谱(Large Language Models and Knowledge Graphs). In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum), 67–76. (CCL 2023)

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[2] 李茹, 郭少茹, 等. 阅读机器人进行阅读理解的答案选择方法及系统(ZL201711092170.7).

[3] 关勇, 李茹, 郭少茹, 等. 一种融合语义场景的摘要自动生成方法及系统(ZL202110412989.7).

[4] 关勇, 李茹, 郭少茹, 等. 一种应用于阅读机器人的摘要生成方法及系统(ZL202011264506.5).

[5] 李茹, 关勇, 郭少茹, 等. 阅读机器人标题选择方法及系统(ZL201711092902.2).

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[3] 语言问题求解和答案生成关键技术及系统(No.2015AA015407)，国家高技术研究发展计划项目(863计划)子课题，2015.07-2018.12，参与