| [1] |
Adornetti I., V. Deriu, A. Chiera, et al. 2026. The story effect: Identification as a key mediator of persuasion in climate change narratives[J]. Frontiers in Communication (11): 1814277.
|
| [2] |
Bamman D., S. Popat & S. Shen. 2019. An annotated dataset of literary entities [A]. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019 )[C]. Minneapolis: Association for Computational Linguistics. 2138-2144.
|
| [3] |
Bortolussi M. & P. Dixon. 2003. Psychonarratology: Foundations for the Empirical Study of Literary Response[M]. Cambridge: Cambridge University Press.
|
| [4] |
Card D., A. E. Boydstun, J. H. Gross, et al. 2015. The media frames corpus: Annotations of frames across issues [A]. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) [C]. Beijing: Association for Computational Linguistics. 438-444.
|
| [5] |
Christou D. & G. Tsoumakas. 2026. Relational arcs as narrative structure: Dynamics, distribution and diachronic change in fiction[J]. Computational Humanities Research 2(e2): 10.1017/chr.2025.10021. https://doi.org/10.1017/chr.2025.10021.
|
| [6] |
Elfes J. 2025. Mapping news narratives using LLMs and narrative-structured text embedding [A]. Proceedings of the 17th ACM Web Science Conference[C]. New Brunswick: ACM. 326-337.
|
| [7] |
Franzosi R. 2012. On quantitative narrative analysis [A]. In J. A. Holstein & J. F. Gubrium (eds.). Varieties of Narrative Analysis [C]. Thousand Oaks: Sage. 75-96.
|
| [8] |
Genette G. 1980. Narrative Discourse: An Essay in Method (trans. by J. Lewin)[M]. New York: Cornell University Press.
|
| [9] |
Gervás, P. & G. Méndez. 2024. Tagging narrative with Propp's character functions using large language models[A]. Proceedings of the Text2Story'24 Workshop (Text2Story 2024)[C]. Glasgow: CEUR Workshop Proceedings. 137-148.
|
| [10] |
Greimas A.-J. 1983. Structural Semantics:An Attempt at a Method ( trans. by D. McDowell, R. Schleifer & A. Velie)[M]. Lincoln: University of Nebraska Press.
|
| [11] |
Huang J. & R. Usbeck. 2024. Narration as functions: From events to narratives [A]. Proceedings of the 6th Workshop on Narrative Understanding [C]. Miami: Association for Computational Linguistics. 1-7.
|
| [12] |
Kanjirangat V., A. Antonucci & M. Zaffalon. 2024. On the limitations of zero-shot classification of causal relations by LLMs[A]. Proceedings of the Text2Story'24 Workshop (Text2Story 2024) [C]. Glasgow: CEUR Workshop Proceedings. 151-160.
|
| [13] |
Lu W., R. K. Luu & M. J. Buehler. 2025. Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities[J]. NPJ Computational Materials 11(1):84.
doi: 10.1038/s41524-025-01564-y
|
| [14] |
Mani I. 2014. Computational narratology [A]. In P. Hühn, J. Meister, J. Pier & W. Schmid (eds.). Handbook of Narratology [C]. Berlin/Boston: De Gruyter. 84-92.
|
| [15] |
Norambuena B. F. K., T. Mitra & C. North. 2023. A survey on event-based news narrative extraction[J]. ACM Computing Surveys 55(6): Article 118.
|
| [16] |
Piper A., R. J. So & D. Bamman. 2021. Narrative theory for computational narrative understanding [A]. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing [C]. Punta Cana: Association for Computational Linguistics. 298-311.
|
| [17] |
Planes J. A., A. N. García & E. Pérez-Morán. 2022. Flashbacks in Netflix original TV series (2013-2017): Predominant categories, formal features, and semantic effects[J]. International Journal of Communication (16): 3443-3469.
|
| [18] |
Pournaki A. & T. Willaert. 2025. Extracting narrative signals from public discourse: A network-based approach[J]. Humanities and Social Sciences Communications (12): 1774.
|
| [19] |
Propp V. 1968. Morphology of the Folktale (trans. by L. Scott)[M]. Austin: University of Texas Press.
|
| [20] |
Reiter-Haas M., B. Klösch, M. Hadler et al. 2024. Framing analysis of health-related narratives: Conspiracy versus mainstream media[R/OL]. [2025-03-06]. arXiv preprint, arXiv:2401.10030. https://arxiv.org/abs/2401.10030.
|
| [21] |
Santana B., R. Campos, E. Amorim, et al. 2023. A survey on narrative extraction from textual data[J]. Artificial Intelligence Review 56(8): 8393-8435.
doi: 10.1007/s10462-022-10338-7
|
| [22] |
Sap M., M. Prasetio, A. Holtzman, H. Rashkin, et al. 2017. Connotation frames of power and agency in modern films [A]. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing [C]. Copenhagen: Association for Computational Linguistics. 2329-2334.
|
| [23] |
Sap M., A. Jafarpour, Y. Choi, et al. 2022. Quantifying the narrative flow of imagined versus autobiographical stories[J]. PNAS 119(45): e2211715119.
doi: 10.1073/pnas.2211715119
URL
|
| [24] |
Sims M., J. H. Park & D. Bamman. 2019. Literary event detection [A]. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics [C]. Florence: Association for Computational Linguistics. 3623-3634.
|
| [25] |
Solissa N.V., A. van Cranenburgh, F. Pianzola. 2025. Event detection between literary studies and NLP: A survey, a narratological reflection, and a case study[J]. Journal of Computational Literary Studies 4(1): 10.
|
| [26] |
Sousa H., N. Guimarães, A. Jorge, et al. 2023. GPT struct me: Probing GPT models on narrative entity extraction [A]. Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)[C]. Venice: IEEE. 383-387.
|
| [27] |
Stammbach D., M. Antoniak & E. Ash. 2022. Heroes, villains, and victims, and GPT-3: Automated extraction of character roles without training data [A]. Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022) [C]. Seattle: Association for Computational Linguistics. 47-56.
|
| [28] |
Toubia O., J. Berger & J. Eliashberg. 2021. How quantifying the shape of stories predicts their success[J]. PNAS 118(26): e2011695118.
doi: 10.1073/pnas.2011695118
URL
|
| [29] |
Walker C., S. Strassel, J. Medero, et al. 2006. ACE 2005 Multilingual Training Corpus[DB/OL]. Philadelphia: Linguistic Data Consortium. 2026-06-08. https://catalog.ldc.upenn.edu/LDC2006T06.
|
| [30] |
Wimmer L., S. Friend, G. Currie, at al. 2021. Reading fictional narratives to improve social and moral cognition: The influence of narrative perspective, transportation, and identification[J]. Frontiers in Communication (5): 611935.
|
| [31] |
雷蕾. 2023. 语言数字人文:“小帐篷”理论框架[J]. 外语与外语教学(3):63-73,147.
|
| [32] |
刘建军. 2025. 数智时代文学活动基本样态、认知特征及其哲学基础的新建[J]. 外语与外语教学(5):7-20,144.
|
| [33] |
尚必武. 2023. 语言学方法的引入与文学研究的科学性诉求[J]. 外语与外语教学(3):52-62,147.
|
| [34] |
尚必武. 2025. 化对象为方法:文学研究的跨学科性反思与能动性转向[J]. 华中师范大学学报(人文社会科学版)64(5):149-158.
|
| [35] |
许钧. 2025. 人工智能时代外语学科的坚守与发展[J]. 外语与外语教学(5):1-6,144.
|
| [36] |
杨枫. 2025. 从地方性到世界性:对外传播话语体系的范式转型与国际话语权构建[J]. 当代外语研究(6):1-9.
doi: 10.3969/j.issn.1674-8921.2025.06.001
|
| [37] |
宗成庆. 2024. 从人工智能角度谈语言类学科发展和人才培养[J]. 外语与外语教学(5):1-11,145.
|