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We present the first version of a system for interactive generation of theatre play scripts.
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Fan, A., Lewis, M., Dauphin, Y.: Hierarchical Neural Story Generation. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). New Orleans, LA, USA (Jun 2018), https://aclweb.org/anthology/P18-1082 , arXiv: 1805.04833
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Fan, A., Lewis, M., Dauphin, Y.: Strategies for Structuring Story Generation. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. pp. 2650–2660. Association for Computational Linguistics, Florence, Italy (Jul 2019). https://doi.org/10.18653/v1/P19-1254
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Papalampidi, P., Keller, F., Lapata, M.: Movie Plot Analysis via Turning Point Identification. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 1707–1717. Association for Computational Linguistics, Hong Kong, China (Nov 2019). https://doi.org/10.18653/v1/D19-1180, https://www.aclweb.org/anthology/D19-1180
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Papalampidi, P., Keller, F., Frermann, L., Lapata, M.: Screenplay Summarization Using Latent Narrative Structure. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 1920–1933. Online (Jul 2020), https://www.aclweb.org/anthology/2020.acl-main.174
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Popel, M., Tomková, M., Tomek, J., Kaiser, Ł., Uszkoreit, J., Bojar, O., Žabokrtský, Z.: Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals. Nature Communications 11
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Rosa, R., Dušek, O., Kocmi, T., Mareček, D., Musil, T., Schmidtová, P., Jurko, D., Bojar, O., Hrbek, D., Košťák, D., Kinská, M., Doležal, J., Vosecká, K.: THEaiTRE: Artificial intelligence to write a theatre play. In: Jorge, A., Campos, R., Jatowt, A., Aizawa, A. (eds.) Proceedings of AI4Narratives — Workshop on Artificial Intelligence for Narratives. CEUR Workshop Proceedings, vol. 2794, pp. 9–13. RWTH Aachen University, RWTH Aachen University, Aachen, Germany (2020), http://ceur-ws.org/Vol-2794/paper2.pdf
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Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I.: Language Models are Unsupervised Multitask Learners. Tech. rep., OpenAI (Feb 2019), https://openai.com/blog/better-language-models/
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Madotto, A., Ishii, E., Lin, Z., Dathathri, S., Fung, P.: Plug-and-Play Conversational Models. In: Findings of the Association for Computational Linguistics: EMNLP 2020. pp. 2422–2433. Association for Computational Linguistics, Online (Nov 2020). https://doi.org/10.18653/v1/2020.findings-emnlp.219, https://www.aclweb.org/anthology/2020.findings-emnlp.219
2020
Cited alongside, same era.
Later among the works it cites.
2020
Later among the works it cites.
Rosa, R., Dušek, O., Kocmi, T., Mareček, D., Musil, T., Schmidtová, P., Jurko, D., Bojar, O., Hrbek, D., Košťák, D., Kinská, M., Nováková, M., Doležal, J., Vosecká, K.: THEaiTRobot 1.0 (2021), http://hdl.handle.net/11234/1-3507 , LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
2021
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