{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T14:46:07Z","timestamp":1776177967644,"version":"3.50.1"},"publisher-location":"Cham","reference-count":79,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031416224","type":"print"},{"value":"9783031416231","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-41623-1_19","type":"book-chapter","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T23:03:46Z","timestamp":1693523026000},"page":"319-336","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Conversational Process Modelling: State of\u00a0the\u00a0Art, Applications, and\u00a0Implications in\u00a0Practice"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-9010-2855","authenticated-orcid":false,"given":"Nataliia","family":"Klievtsova","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3979-400X","authenticated-orcid":false,"given":"Janik-Vasily","family":"Benzin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6458-2252","authenticated-orcid":false,"given":"Timotheus","family":"Kampik","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6332-5801","authenticated-orcid":false,"given":"Juergen","family":"Mangler","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5656-6108","authenticated-orcid":false,"given":"Stefanie","family":"Rinderle-Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,1]]},"reference":[{"key":"19_CR1","unstructured":"Openai documentation: models overview. https:\/\/platform.openai.com\/docs\/models\/"},{"key":"19_CR2","doi-asserted-by":"publisher","unstructured":"Data augmentation approaches in natural language processing: a survey. AI Open 3, 71\u201390 (2022). https:\/\/doi.org\/10.1016\/j.aiopen.2022.03.001","DOI":"10.1016\/j.aiopen.2022.03.001"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Adamopoulou, E., Moussiades, L.: An overview of chatbot technology. In: Artificial Intelligence Applications and Innovations, pp. 373\u2013383 (2020)","DOI":"10.1007\/978-3-030-49186-4_31"},{"key":"19_CR4","doi-asserted-by":"publisher","first-page":"149220","DOI":"10.1109\/ACCESS.2020.3016142","volume":"8","author":"A Ait-Mlouk","year":"2020","unstructured":"Ait-Mlouk, A., Jiang, L.: KBot: a knowledge graph based chatbot for natural language understanding over linked data. IEEE Access 8, 149220\u2013149230 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3016142","journal-title":"IEEE Access"},{"key":"19_CR5","unstructured":"Alman, A., Balder, K.J., Maggi, F.M., van der Aa, H.: Declo: a chatbot for user-friendly specification of declarative process models. In: Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020, vol. 2673, pp. 122\u2013126. CEUR-WS.org (2020). https:\/\/ceur-ws.org\/Vol-2673\/paperDR12.pdf"},{"key":"19_CR6","doi-asserted-by":"publisher","unstructured":"Alotaibi, Y.: Business process modelling challenges and solutions: a literature review. J. Intell. Manuf. 27(4), 701\u2013723 (August 2016). https:\/\/doi.org\/10.1007\/s10845-014-0917-4,https:\/\/ideas.repec.org\/a\/spr\/joinma\/v27y2016i4d10.1007_s10845-014-0917-4.html","DOI":"10.1007\/s10845-014-0917-4"},{"key":"19_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/978-3-030-51310-8_6","volume-title":"Natural Language Processing and Information Systems","author":"CVS Avila","year":"2020","unstructured":"Avila, C.V.S., Franco, W., Maia, J.G.R., Vidal, V.M.P.: CONQUEST: a framework for building template-based IQA chatbots for enterprise knowledge graphs. In: M\u00e9tais, E., Meziane, F., Horacek, H., Cimiano, P. (eds.) NLDB 2020. LNCS, vol. 12089, pp. 60\u201372. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-51310-8_6"},{"issue":"1","key":"19_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1108\/BPMJ-10-2019-0407","volume":"27","author":"DT Avila","year":"2021","unstructured":"Avila, D.T., dos Santos, R.I., Mendling, J., Thom, L.H.: A systematic literature review of process modeling guidelines and their empirical support. Bus. Process. Manag. J. 27(1), 1\u201323 (2021). https:\/\/doi.org\/10.1108\/BPMJ-10-2019-0407","journal-title":"Bus. Process. Manag. J."},{"issue":"03","key":"19_CR9","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MIC.2020.3024605","volume":"25","author":"M Baez","year":"2021","unstructured":"Baez, M., Daniel, F., Casati, F., Benatallah, B.: Chatbot integration in few patterns. IEEE Internet Comput. 25(03), 52\u201359 (2021). https:\/\/doi.org\/10.1109\/MIC.2020.3024605","journal-title":"IEEE Internet Comput."},{"key":"19_CR10","unstructured":"Bellan, P., Dragoni, M., Ghidini, C.: A qualitative analysis of the state of the art in process extraction from text. In: DP@AI*IA (2020)"},{"key":"19_CR11","unstructured":"Bellan, P., Dragoni, M., Ghidini, C.: Process extraction from text: state of the art and challenges for the future. arXiv preprint arXiv:2110.03754 (2021)"},{"key":"19_CR12","doi-asserted-by":"publisher","unstructured":"Bellan, P., Dragoni, M., Ghidini, C.: Extracting business process entities and relations from text using pre-trained language models and in-context learning, pp. 182\u2013199 (09 2022). https:\/\/doi.org\/10.1007\/978-3-031-17604-3_11","DOI":"10.1007\/978-3-031-17604-3_11"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Bellan, P., Ghidini, C., Dragoni, M., Ponzetto, S.P., van der Aa, H.: Process extraction from natural language text: the pet dataset and annotation guidelines. In: Workshop on Natural Language for Artificial Intelligence (2022)","DOI":"10.1007\/978-3-031-25383-6_23"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Belo, O., Gomes, C., Oliveira, B., Marques, R., Santos, V.: Automatic generation of ETL physical systems from BPMN conceptual models. In: Model and Data Engineering, pp. 239\u2013247 (2015)","DOI":"10.1007\/978-3-319-23781-7_19"},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"de Brito Dias, C.L., Dani, V.S., Mendling, J., Thom, L.H.: Anti-patterns for process modeling problems: an analysis of BPMN 2.0-based tools behavior. In: Business Process Management Workshops (2019)","DOI":"10.1007\/978-3-030-37453-2_59"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Callison-Burch, C., Cohn, T., Lapata, M.: Parametric: an automatic evaluation metric for paraphrasing. In: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pp. 97\u2013104 (2008)","DOI":"10.3115\/1599081.1599094"},{"key":"19_CR17","doi-asserted-by":"publisher","unstructured":"de Camargo, J.V., et al.: A complementary analysis of the behavior of BPMN tools regarding process modeling problems. In: Augusto, A., Gill, A., Bork, D., Nurcan, S., Reinhartz-Berger, I., Schmidt, R. (eds.) Enterprise, Business-Process and Information Systems Modeling, pp. 43\u201359. Springer International Publishing, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-07475-2_4","DOI":"10.1007\/978-3-031-07475-2_4"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Ca\u00f1izares, P.C., P\u00e9rez-Soler, S., Guerra, E., de Lara, J.: Automating the measurement of heterogeneous chatbot designs. Appl. Comput., 1491\u20131498 (2022)","DOI":"10.1145\/3477314.3507255"},{"key":"19_CR19","doi-asserted-by":"publisher","unstructured":"Chandrasekaran, D., Mago, V.: Evolution of semantic similarity-a survey. ACM Comput. Surv. 54(2), 41:1\u201341:37 (2021). https:\/\/doi.org\/10.1145\/3440755","DOI":"10.1145\/3440755"},{"key":"19_CR20","unstructured":"Choa, N., Limb, Y., Limc, J.: Research design to compare the impacts of two different types of chatbots on mobile shopping behavior: rule-based and natural language processing-based. Editorial Board, p. 43"},{"key":"19_CR21","doi-asserted-by":"publisher","unstructured":"Chowdhary, K.: Fundamentals of Artificial Intelligence. Springer India (2020). https:\/\/doi.org\/10.1007\/978-81-322-3972-7, https:\/\/books.google.at\/books?id=8SfbDwAAQBAJ","DOI":"10.1007\/978-81-322-3972-7"},{"key":"19_CR22","unstructured":"Ciravegna, D., et al.: Adaptive information extraction from text by rule induction and generalisation (2001)"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Cossentino, M., Lopes, S., Sabatucci, L.: A tool for the automatic generation of MOISE organisations from BPMN. In: WOA, vol. 1613, p. 69 (2020)","DOI":"10.5220\/0010319201250136"},{"key":"19_CR24","doi-asserted-by":"publisher","unstructured":"Dani, V.S., Freitas, C.M.D.S., Thom, L.H.: Recommendations for visual feedback about problems within BPMN process models. Softw. Syst. Model. 21(5), 2039\u20132065 (2022). https:\/\/doi.org\/10.1007\/s10270-021-00972-0","DOI":"10.1007\/s10270-021-00972-0"},{"key":"19_CR25","doi-asserted-by":"publisher","first-page":"15332","DOI":"10.1109\/ACCESS.2020.2966919","volume":"8","author":"G Daniel","year":"2020","unstructured":"Daniel, G., Cabot, J., Deruelle, L., Derras, M.: Xatkit: a multimodal low-code chatbot development framework. IEEE Access 8, 15332\u201315346 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2966919","journal-title":"IEEE Access"},{"key":"19_CR26","unstructured":"Dihyat, M.M.H., Hough, J.: Can rule-based chatbots outperform neural models without pre-training in small data situations: a preliminary comparison of AIML and Seq2Seq. In: Workshop Semantics Pragmatics Dialogue, pp. 1\u20133 (2021)"},{"key":"19_CR27","doi-asserted-by":"publisher","unstructured":"Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management. Springer, Berlin, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-33143-5","DOI":"10.1007\/978-3-642-33143-5"},{"key":"19_CR28","doi-asserted-by":"crossref","unstructured":"Ed-douibi, H., C\u00e1novas Izquierdo, J.L., Daniel, G., Cabot, J.: A model-based chatbot generation approach to converse with open data sources. In: Web Engineering, pp. 440\u2013455 (2021)","DOI":"10.1007\/978-3-030-74296-6_33"},{"key":"19_CR29","doi-asserted-by":"crossref","unstructured":"Friedrich, F., Mendling, J., Puhlmann, F.: Process model generation from natural language text. In: Advanced Information Systems Engineering. pp. 482\u2013496 (2011)","DOI":"10.1007\/978-3-642-21640-4_36"},{"key":"19_CR30","unstructured":"Fu, K., Lin, J., Ke, D., Xie, Y., Zhang, J., Lin, B.: A full text-dependent end to end mispronunciation detection and diagnosis with easy data augmentation techniques. arXiv preprint arXiv:2104.08428 (2021)"},{"key":"19_CR31","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/978-3-319-99365-2_8","volume-title":"Knowledge Science, Engineering and Management","author":"K Honkisz","year":"2018","unstructured":"Honkisz, K., Kluza, K., Wi\u015bniewski, P.: A concept for generating business process models from natural language description. In: Liu, W., Giunchiglia, F., Yang, B. (eds.) KSEM 2018. LNCS (LNAI), vol. 11061, pp. 91\u2013103. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99365-2_8"},{"key":"19_CR32","doi-asserted-by":"crossref","unstructured":"Indahyanti, U., Djunaidy, A., Siahaan, D.: Auto-generating business process model from heterogeneous documents: a comprehensive literature survey. In: Electrical Engineering, Computer Science and Informatics, pp. 239\u2013243 (2022). https:\/\/doi.org\/10.23919\/EECSI56542.2022.9946460","DOI":"10.23919\/EECSI56542.2022.9946460"},{"key":"19_CR33","doi-asserted-by":"crossref","unstructured":"Jiang, J.: Information extraction from text. Mining Text Data, pp. 11\u201341 (2012)","DOI":"10.1007\/978-1-4614-3223-4_2"},{"key":"19_CR34","doi-asserted-by":"crossref","unstructured":"Kalia, A.K., Telang, P.R., Xiao, J., Vukovic, M.: Quark: a methodology to transform people-driven processes to chatbot services. In: Service-Oriented Computing, pp. 53\u201361 (2017)","DOI":"10.1007\/978-3-319-69035-3_4"},{"key":"19_CR35","doi-asserted-by":"crossref","unstructured":"Kauchak, D., Barzilay, R.: Paraphrasing for automatic evaluation. In: Human Language Technology Conference of the NAACL, pp. 455\u2013462 (2006)","DOI":"10.3115\/1220835.1220893"},{"key":"19_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2023.102176","volume":"113","author":"C Kecht","year":"2023","unstructured":"Kecht, C., Egger, A., Kratsch, W., R\u00f6glinger, M.: Quantifying chatbots\u2019 ability to learn business processes. Inf. Syst. 113, 102176 (2023). https:\/\/doi.org\/10.1016\/j.is.2023.102176","journal-title":"Inf. Syst."},{"key":"19_CR37","unstructured":"Kitchenham, B.: Procedures for Performing Systematic Reviews. Keele University Technical Report TR\/SE-0401, Keele University (2004)"},{"key":"19_CR38","unstructured":"Kojima, T., Gu, S.S., Reid, M., Matsuo, Y., Iwasawa, Y.: Large language models are zero-shot reasoners. arXiv preprint arXiv:2205.11916 (2022)"},{"key":"19_CR39","doi-asserted-by":"crossref","unstructured":"Leopold, H., Mendling, J., Polyvyanyy, A.: Generating natural language texts from business process models. In: Advanced Information Systems Engineering, pp. 64\u201379 (2012)","DOI":"10.1007\/978-3-642-31095-9_5"},{"issue":"4","key":"19_CR40","first-page":"832","volume":"30","author":"Y Lim","year":"2020","unstructured":"Lim, Y., Lim, J., Cho, N.: An experimental comparison of the usability of rule-based and natural language processing-based chatbots. Asia Pacific J. Inf. Syst. 30(4), 832\u2013846 (2020)","journal-title":"Asia Pacific J. Inf. Syst."},{"key":"19_CR41","doi-asserted-by":"crossref","unstructured":"Lins, L.F., Melo, G., Oliveira, T., Alencar, P., Cowan, D.: PACAs: process-aware conversational agents. In: Business Process Management Workshops, pp. 312\u2013318 (2022)","DOI":"10.1007\/978-3-030-94343-1_24"},{"issue":"11","key":"19_CR42","doi-asserted-by":"publisher","first-page":"2593","DOI":"10.1016\/j.drudis.2021.06.009","volume":"26","author":"Z Liu","year":"2021","unstructured":"Liu, Z., Roberts, R.A., Lal-Nag, M., Chen, X., Huang, R., Tong, W.: AI-based language models powering drug discovery and development. Drug Discovery Today 26(11), 2593\u20132607 (2021)","journal-title":"Drug Discovery Today"},{"key":"19_CR43","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1007\/978-3-030-21290-2_24","volume-title":"Advanced Information Systems Engineering","author":"A L\u00f3pez","year":"2019","unstructured":"L\u00f3pez, A., S\u00e0nchez-Ferreres, J., Carmona, J., Padr\u00f3, L.: From process models to chatbots. In: Giorgini, P., Weber, B. (eds.) CAiSE 2019. LNCS, vol. 11483, pp. 383\u2013398. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21290-2_24"},{"issue":"1","key":"19_CR44","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1434","volume":"12","author":"B Luo","year":"2022","unstructured":"Luo, B., Lau, R.Y.K., Li, C., Si, Y.W.: A critical review of state-of-the-art chatbot designs and applications. WIREs Data Min. Knowl. Discov. 12(1), e1434 (2022). https:\/\/doi.org\/10.1002\/widm.1434","journal-title":"WIREs Data Min. Knowl. Discov."},{"key":"19_CR45","unstructured":"M. Riefer, S. Ternis, T.T.: Mining process models from natural language text: a state-of-the-art analysis. In: Wirtschaftsinformatik, pp. 9\u201311 (2016)"},{"key":"19_CR46","doi-asserted-by":"publisher","unstructured":"Mangler, J., Klievtsova, N.: Dataset: textual process descriptions and corresponding BPMN models (2023). https:\/\/doi.org\/10.5281\/zenodo.7783492","DOI":"10.5281\/zenodo.7783492"},{"key":"19_CR47","doi-asserted-by":"publisher","unstructured":"Mangler, J., Klievtsova, N.: Evaluation details: GPT capabilites for extracting tasks from textual process descriptions (2023). https:\/\/doi.org\/10.5281\/zenodo.8063211","DOI":"10.5281\/zenodo.8063211"},{"key":"19_CR48","doi-asserted-by":"crossref","unstructured":"Maqbool, B., et al.: A comprehensive investigation of BPMN models generation from textual requirements-techniques, tools and trends. In: Information Science and Applications, pp. 543\u2013557 (2019)","DOI":"10.1007\/978-981-13-1056-0_54"},{"key":"19_CR49","unstructured":"McTear, M.F.: Conversational modelling for chatbots: current approaches and future directions (2018)"},{"key":"19_CR50","doi-asserted-by":"crossref","unstructured":"Meurers, D.: Natural language processing and language learning. Encyclopedia Appl. Linguist, 4193\u20134205 (2012)","DOI":"10.1002\/9781405198431.wbeal0858"},{"key":"19_CR51","doi-asserted-by":"publisher","first-page":"106530","DOI":"10.1109\/ACCESS.2021.3100885","volume":"9","author":"A Miklosik","year":"2021","unstructured":"Miklosik, A., Evans, N., Qureshi, A.M.A.: The use of chatbots in digital business transformation: A systematic literature review. IEEE Access 9, 106530\u2013106539 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3100885","journal-title":"IEEE Access"},{"key":"19_CR52","unstructured":"Min, B., et al.: Recent advances in natural language processing via large pre-trained language models: a survey. arXiv preprint arXiv:2111.01243 (2021)"},{"issue":"1","key":"19_CR53","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1145\/1089815.1089817","volume":"7","author":"RJ Mooney","year":"2005","unstructured":"Mooney, R.J., Bunescu, R.: Mining knowledge from text using information extraction. ACM SIGKDD Explor. Newsl. 7(1), 3\u201310 (2005)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"19_CR54","doi-asserted-by":"crossref","unstructured":"Omar, R., Mangukiya, O., Kalnis, P., Mansour, E.: ChatGPT versus traditional question answering for knowledge graphs: current status and future directions towards knowledge graph chatbots. arXiv preprint arXiv:2302.06466 (2023)","DOI":"10.1145\/3588911"},{"key":"19_CR55","doi-asserted-by":"crossref","unstructured":"Patsoulis, G., Promikyridis, R., Tambouris, E.: Integration of chatbots with Knowledge Graphs in eGovernment: the case of getting a passport. In: 25th Pan-Hellenic Conference on Informatics, pp. 425\u2013429 (2021)","DOI":"10.1145\/3503823.3503901"},{"key":"19_CR56","doi-asserted-by":"publisher","unstructured":"Polyvyanyy, A. (ed.): Process Querying Methods. Springer (2022). https:\/\/doi.org\/10.1007\/978-3-030-92875-9","DOI":"10.1007\/978-3-030-92875-9"},{"key":"19_CR57","doi-asserted-by":"crossref","unstructured":"Rahman, S., Kandogan, E.: Characterizing practices, limitations, and opportunities related to text information extraction workflows: a human-in-the-loop perspective. In: Human Factors in Computing Systems, pp. 1\u201315 (2022)","DOI":"10.1145\/3491102.3502068"},{"issue":"4","key":"19_CR58","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1016\/0306-4573(89)90069-1","volume":"25","author":"LF Rau","year":"1989","unstructured":"Rau, L.F., Jacobs, P.S., Zernik, U.: Information extraction and text summarization using linguistic knowledge acquisition. Inf. Process. Manage. 25(4), 419\u2013428 (1989)","journal-title":"Inf. Process. Manage."},{"key":"19_CR59","doi-asserted-by":"publisher","unstructured":"Rawat, B., Bist, A.S., Rahardja, U., Aini, Q., Ayu Sanjaya, Y.P.: Recent deep learning based NLP techniques for chatbot development: an exhaustive survey. In: Cyber and IT Service Management, pp. 1\u20134 (2022). https:\/\/doi.org\/10.1109\/CITSM56380.2022.9935858","DOI":"10.1109\/CITSM56380.2022.9935858"},{"issue":"3","key":"19_CR60","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s10270-021-00925-7","volume":"21","author":"D Rooein","year":"2022","unstructured":"Rooein, D., Bianchini, D., Leotta, F., Mecella, M., Paolini, P., Pernici, B.: aCHAT-WF: generating conversational agents for teaching business process models. Softw. Syst. Model. 21(3), 891\u2013914 (2022). https:\/\/doi.org\/10.1007\/s10270-021-00925-7","journal-title":"Softw. Syst. Model."},{"key":"19_CR61","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1007\/978-3-642-04380-2_52","volume-title":"Intelligent Virtual Agents","author":"B Rossen","year":"2009","unstructured":"Rossen, B., Lind, S., Lok, B.: Human-centered distributed conversational modeling: efficient modeling of robust virtual human conversations. In: Ruttkay, Z., Kipp, M., Nijholt, A., Vilhj\u00e1lmsson, H.H. (eds.) IVA 2009. LNCS (LNAI), vol. 5773, pp. 474\u2013481. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-04380-2_52"},{"issue":"1","key":"19_CR62","doi-asserted-by":"publisher","first-page":"20200005","DOI":"10.1515\/cdbme-2020-0005","volume":"6","author":"C Ryniak","year":"2020","unstructured":"Ryniak, C., Burgert, O.: Automatic generation of checklists from business process model and notation (BPMN) models for surgical assist systems. Curr. Dir. Biomed. Eng. 6(1), 20200005 (2020). https:\/\/doi.org\/10.1515\/cdbme-2020-0005","journal-title":"Curr. Dir. Biomed. Eng."},{"key":"19_CR63","unstructured":"Santing, L.: Easy data augmentation techniques for traditional machine learning models on text classification tasks. B.S. thesis (2021)"},{"issue":"10","key":"19_CR64","doi-asserted-by":"publisher","first-page":"10079","DOI":"10.1016\/j.jksuci.2022.10.007","volume":"34","author":"S Sholiq","year":"2022","unstructured":"Sholiq, S., Sarno, R., Astuti, E.S.: Generating BPMN diagram from textual requirements. J. King Saud University - Comput. Inf. Sci. 34(10), 10079\u201310093 (2022). https:\/\/doi.org\/10.1016\/j.jksuci.2022.10.007","journal-title":"J. King Saud University - Comput. Inf. Sci."},{"key":"19_CR65","unstructured":"Silver, B.: BPMN Method and Style: With BPMN Implementer\u2019s Guide. Cody-Cassidy Press (2011). https:\/\/books.google.at\/books?id=mLDYygAACAAJ"},{"key":"19_CR66","doi-asserted-by":"publisher","unstructured":"Sintoris, K., Vergidis, K.: Extracting business process models using natural language processing (NLP) techniques. In: Business Informatics, vol. 01, pp. 135\u2013139 (2017). https:\/\/doi.org\/10.1109\/CBI.2017.41","DOI":"10.1109\/CBI.2017.41"},{"key":"19_CR67","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/978-3-030-26619-6_8","volume-title":"Business Process Management","author":"J S\u00e0nchez-Ferreres","year":"2019","unstructured":"S\u00e0nchez-Ferreres, J., Burattin, A., Carmona, J., Montali, M., Padr\u00f3, L.: Formal reasoning on natural language descriptions of processes. In: Hildebrandt, T., van Dongen, B.F., R\u00f6glinger, M., Mendling, J. (eds.) BPM 2019. LNCS, vol. 11675, pp. 86\u2013101. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-26619-6_8"},{"key":"19_CR68","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1023\/A:1007562322031","volume":"34","author":"S Soderland","year":"1999","unstructured":"Soderland, S.: Learning information extraction rules for semi-structured and free text. Mach. Learn. 34, 233\u2013272 (1999)","journal-title":"Mach. Learn."},{"issue":"5","key":"19_CR69","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1136\/amiajnl-2013-001635","volume":"20","author":"B Tang","year":"2013","unstructured":"Tang, B., Wu, Y., Jiang, M., Chen, Y., Denny, J.C., Xu, H.: A hybrid system for temporal information extraction from clinical text. J. Am. Med. Inform. Assoc. 20(5), 828\u2013835 (2013)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"19_CR70","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-023-00795-x","author":"T Teubner","year":"2023","unstructured":"Teubner, T., Flath, C., Weinhardt, C.: Welcome to the era of chatGPT. Bus. Inf. Syst. Eng. (2023). https:\/\/doi.org\/10.1007\/s12599-023-00795-x","journal-title":"Bus. Inf. Syst. Eng."},{"key":"19_CR71","doi-asserted-by":"crossref","unstructured":"Thompson, B., Post, M.: Automatic machine translation evaluation in many languages via zero-shot paraphrasing. arXiv preprint arXiv:2004.14564 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.8"},{"issue":"5","key":"19_CR72","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1016\/j.compind.2007.12.007","volume":"59","author":"ITP Vanderfeesten","year":"2008","unstructured":"Vanderfeesten, I.T.P., Reijers, H.A., van der Aalst, W.M.P.: Evaluating workflow process designs using cohesion and coupling metrics. Comput. Ind. 59(5), 420\u2013437 (2008). https:\/\/doi.org\/10.1016\/j.compind.2007.12.007","journal-title":"Comput. Ind."},{"issue":"5","key":"19_CR73","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.compind.2010.12.012","volume":"62","author":"B Weber","year":"2011","unstructured":"Weber, B., Reichert, M., Mendling, J., Reijers, H.A.: Refactoring large process model repositories. Comput. Ind. 62(5), 467\u2013486 (2011). https:\/\/doi.org\/10.1016\/j.compind.2010.12.012","journal-title":"Comput. Ind."},{"key":"19_CR74","doi-asserted-by":"crossref","unstructured":"Wei, J., Zou, K.: EDA: easy data augmentation techniques for boosting performance on text classification tasks. arXiv preprint arXiv:1901.11196 (2019)","DOI":"10.18653\/v1\/D19-1670"},{"key":"19_CR75","doi-asserted-by":"crossref","unstructured":"Witteveen, S., Andrews, M.: Paraphrasing with large language models. arXiv preprint arXiv:1911.09661 (2019)","DOI":"10.18653\/v1\/D19-5623"},{"key":"19_CR76","doi-asserted-by":"crossref","unstructured":"Wittig, A., Perevalov, A., Both, A.: Towards bridging the gap between knowledge graphs and chatbots. In: Web Engineering, pp. 315\u2013322 (2022)","DOI":"10.1007\/978-3-031-09917-5_21"},{"key":"19_CR77","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-3-030-39540-7_16","volume-title":"Chatbot Research and Design","author":"R Meyer von Wolff","year":"2020","unstructured":"Meyer von Wolff, R., N\u00f6rtemann, J., Hobert, S., Schumann, M.: Chatbots for the information acquisition at universities \u2013 a student\u2019s view on the application area. In: F\u00f8lstad, A., et al. (eds.) CONVERSATIONS 2019. LNCS, vol. 11970, pp. 231\u2013244. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-39540-7_16"},{"key":"19_CR78","doi-asserted-by":"crossref","unstructured":"Yoshimura, R., Shimanaka, H., Matsumura, Y., Yamagishi, H., Komachi, M.: Filtering pseudo-references by paraphrasing for automatic evaluation of machine translation. In: Machine Translation, pp. 521\u2013525 (2019)","DOI":"10.18653\/v1\/W19-5360"},{"key":"19_CR79","doi-asserted-by":"publisher","unstructured":"Yu, J., Choi, J., Lee, Y.: Mixing approach for text data augmentation based on an ensemble of explainable artificial intelligence methods. Neural Process. Lett. 1\u201317 (2022). https:\/\/doi.org\/10.1007\/s11063-022-10961-z","DOI":"10.1007\/s11063-022-10961-z"}],"container-title":["Lecture Notes in Business Information Processing","Business Process Management Forum"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-41623-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:38:16Z","timestamp":1710329896000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-41623-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031416224","9783031416231"],"references-count":79,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-41623-1_19","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BPM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Business Process Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Utrecht","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bpm2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bpm2023.sites.uu.nl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"151","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"In addition, for the BPM Forum 23 papers were accepted. 18 papers of 42 submissions were accepted for the Blockchain- Educators- and RPA Forum.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}