Skip to main content
SpringerLink
Log in

The 6th International Workshop on Narrative Extraction from Texts: Text2Story 2023

  • Conference paper
  • First Online:
Advances in Information Retrieval (ECIR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13982))

Included in the following conference series:

Abstract

Over these past five years, significant breakthroughs, led by Transformers and large language models, have been made in understanding natural language text. However, the ability to capture contextual nuances in longer texts is still an elusive goal, let alone the understanding of consistent fine-grained narrative structures in text. These unsolved challenges and the interest in the community are at the basis of the sixth edition of Text2Story workshop to be held in Dublin on April 2nd, 2023 in conjunction with the 45th European Conference on Information Retrieval (ECIR’23). In its sixth edition, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established models, as well as in modern architectures (e.g., transformers) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction and generation task. Text2Story includes sessions devoted to full research papers, work-in-progress, demos and dissemination papers, keynote talks and space for an informal discussion of the methods, of the challenges and of the future of this research area.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alonso, J.M., et al.: Interactive natural language technology for explainable artificial intelligence. In: TAILOR, pp. 63–70 (2020)

    Google Scholar 

  2. Athanasakou, V., et al.: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020) Co-located to Coling 2020, Barcelona, Spain (Online), 12 December, pp. 1–245 (2020)

    Google Scholar 

  3. Ayed, A.B., Biskri, I., Meunier, J.-G.: An efficient explainable artificial intelligence model of automatically generated summaries evaluation: a use case of bridging cognitive psychology and computational linguistics. In: Sayed-Mouchaweh, M. (ed.) Explainable AI Within the Digital Transformation and Cyber Physical Systems, pp. 69–90. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-76409-8_5

    Chapter  Google Scholar 

  4. Campos, R., Mangaravite, V., Pasquali, A., Jorge, A.M., Nunes, C., Jatowt, A.: A text feature based automatic keyword extraction method for single documents. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds.) ECIR 2018. LNCS, vol. 10772, pp. 684–691. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76941-7_63

    Chapter  Google Scholar 

  5. Campos, R., Jorge, A., Jatowt, A., Bhatia, S., Litvak, M.: The 5th international workshop on narrative extraction from texts: Text2Story 2022. In: Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K., Setty, V. (eds.) ECIR 2022. LNCS, vol. 13186, pp. 552–556. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-99739-7_68

    Chapter  Google Scholar 

  6. Campos, R., Jorge, A., Jatowt, A., Bhatia, S., Finlayson, M.: The 4th international workshop on narrative extraction from texts: Text2Story 2021. In: Hiemstra, D., Moens, M.-F., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds.) ECIR 2021. LNCS, vol. 12657, pp. 701–704. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72240-1_84

    Chapter  Google Scholar 

  7. Campos, R., Jorge, A., Jatowt, A., Sumit, B.: Third international workshop on narrative extraction from texts (Text2Story 2020). In: Jose, J., et al. (eds.) ECIR 2020, LNCS, vol. 12036, pp. 648–653. Springer, Cham (2020)

    Google Scholar 

  8. Celikyilmaz, A., Clark, E., Gao, J.: Evaluation of text generation: a survey. arXiv preprint arXiv:2006.14799(2020)

  9. El-Haj, M., Litvak, M., Pittaras, N., Giannakopoulos, G.: The financial narrative summarisation shared task (FNS 2020). In: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, pp. 1–12 (2020)

    Google Scholar 

  10. Elkins, K., Chun, J.: Can GPT-3 pass a writer’s turing test? J. Cult. Analytics 5(2), 17212 (2020)

    Article  Google Scholar 

  11. El-Haj, M., Rayson, P., Zmandar, N.: Proceedings of the 3rd Financial Narrative Processing Workshop. ACL (2021)

    Google Scholar 

  12. Gonçalves, F., Campos, R., Jorge, A.: Text2Storyline: generating enriched storylines from text. In: Caputo, A., et al. (eds.) Advances in Information Retrieval, ECIR 2023, Dublin, Ireland, 02–06 April. LNCS. Springer, Cham (2023)

    Google Scholar 

  13. Grobelny, J., Smierzchalska, J., Krzysztof, K.: Narrative gamification as a method of increasing sales performance: a field experimental study. Int. J. Acad. Res. Bus. Soc. Sci. 8(3), 430–447 (2018)

    Google Scholar 

  14. Guo, W., Caliskan, A.: Detecting emergent intersectional biases: contextualized word embeddings contain a distribution of human-like biases. In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, pp. 122–133 (2021)

    Google Scholar 

  15. Jorge, A.M., Campos, R., Jatowt, A., Bhatia, S.: The 2nd international workshop on narrative extraction from text: Text2Story 2019. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds.) ECIR 2019. LNCS, vol. 11438, pp. 389–393. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-15719-7_54

    Chapter  Google Scholar 

  16. Jorge, A., Campos, R., Jatowt, A., Nunes, S.: First international workshop on narrative extraction from texts (Text2Story 2018). In: Pasi, G., et al. (eds.) Advances in Information Retrieval, ECIR 2018, Grenoble, France, 26–29 March. LNCS, vol. 10772, pp. 833–834 (2018)

    Google Scholar 

  17. Jorge, A., Campos, R., Jatowt, A., Nunes, S.: Special issue on narrative extraction from texts (Text2Story): preface. IPM J. 56(5), 1771–1774 (2019)

    Google Scholar 

  18. Liu, S., et al.: TIARA: interactive, topic-based visual text summarization and analysis. ACM Trans. Intell. Syst. Technol. 3(2) (2012). Article 25, 28 pages

    Google Scholar 

  19. Martinez-Alvarez, M., et al.: First international workshop on recent trends in news information retrieval (NewsIR’16). In: Ferro, N., et al. (eds.) ECIR 2016. LNCS, vol. 9626, pp. 878–882. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-30671-1_85

    Chapter  Google Scholar 

  20. Maynez, J., Narayan, S., Bohnet, B., McDonald, R.: On faithfulness and factuality in abstractive summarization. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 1906–1919 (2020)

    Google Scholar 

  21. Özlem, U., Amber, S., Weiyi, S.: Chronology of your health events: approaches to extracting temporal relations from medical narratives. Biomedical Inf. 46, 1–4 (2013)

    Article  Google Scholar 

  22. Pasquali, A., Campos, R., Ribeiro, A., Santana, B., Jorge, A., Jatowt, A.: TLS-Covid19: a new annotated corpus for timeline summarization. In: Hiemstra, D., Moens, M.-F., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds.) ECIR 2021. LNCS, vol. 12656, pp. 497–512. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72113-8_33

    Chapter  Google Scholar 

  23. Pasquali, A., Mangaravite, V., Campos, R., Jorge, A.M., Jatowt, A.: Interactive system for automatically generating temporal narratives. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds.) ECIR 2019. LNCS, vol. 11438, pp. 251–255. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-15719-7_34

    Chapter  Google Scholar 

  24. Saakyan, A., Chakrabarty, T., Muresan, S.: COVID-fact: fact extraction and verification of real-world claims on COVID-19 pandemic. arXiv preprint arXiv:2106.03794(2021)

  25. Santana, B., Campos, R., Amorim, E., Alípio, J., Purificação, S., Nunes, S.: A survey on narrative extraction from textual data. Artif. Intell. Rev. (2023). https://doi.org/10.1007/s10462-022-10338-7

    Article  Google Scholar 

  26. Sun, S., Krishna, K., Mattarella-Micke, A., Iyyer, M.: Do long-range language models actually use long-range context? In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 807–822. ACL, Online and Punta Cana, Dominican Republic (2021)

    Google Scholar 

  27. Vo, N., Lee, K.: Learning from fact-checkers: Analysis and generation of fact-checking language. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, 21–25 July, pp. 335–344 (2019)

    Google Scholar 

  28. Wu, Y.: Is automated journalistic writing less biased? An experimental test of auto-written and human-written news stories. J. Pract. 14(7), 1–21 (2019)

    Google Scholar 

  29. Zmandar, N., El-Haj, M., Rayson, P., Litvak, M., Giannakopoulos, G., Pittaras, N.: The financial narrative summarisation shared task FNS 2021. In: Proceedings of the 3rd Financial Narrative Processing Workshop, pp. 120–125 (2021)

    Google Scholar 

Download references

Acknowledgements

Ricardo Campos and Alípio Jorge are financed by National Funds through the Portuguese funding agency, FCT – Fundação para a Ciência e a Tecnologia, within project LA/P/0063/2020 and by the project Text2Story, financed by the ERDF – European Regional Development Fund through the Norte Portugal Regional Operational Programme – NORTE 2020 under the Portugal 2020 Partnership Agreement and by National Funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology) within project Text2Story, with reference PTDC/CCI-COM/31857/2017 (NORTE-01-0145-FEDER-031857).

Author information

Authors and Affiliations

  1. LIAAD – INESCTEC, Porto, Portugal

    Ricardo Campos & Alípio Jorge

  2. Ci2 – Smart Cities Research Center – Polytechnic Institute of Tomar, Tomar, Portugal

    Ricardo Campos

  3. FCUP, University of Porto, Porto, Portugal

    Alípio Jorge

  4. University of Innsbruck, Innsbruck, Austria

    Adam Jatowt

  5. MDSR Lab, Adobe Systems, Noida, India

    Sumit Bhatia

  6. Shamoon College of Engineering, Beer Sheva, Israel

    Marina Litvak

Authors
  1. Ricardo Campos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alípio Jorge
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Adam Jatowt
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sumit Bhatia
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Marina Litvak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ricardo Campos .

Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Jaap Kamps

  2. Université Grenoble-Alpes, Saint-Martin-d’Hères, France

    Lorraine Goeuriot

  3. Università della Svizzera Italiana, Lugano, Switzerland

    Fabio Crestani

  4. University of Copenhagen, Copenhagen, Denmark

    Maria Maistro

  5. University of Tsukuba, Ibaraki, Japan

    Hideo Joho

  6. Dublin City University, Dublin, Ireland

    Brian Davis

  7. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  8. Universität Regensburg, Regensburg, Germany

    Udo Kruschwitz

  9. Dublin City University, Dublin, Ireland

    Annalina Caputo

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Campos, R., Jorge, A., Jatowt, A., Bhatia, S., Litvak, M. (2023). The 6th International Workshop on Narrative Extraction from Texts: Text2Story 2023. In: Kamps, J., et al. Advances in Information Retrieval. ECIR 2023. Lecture Notes in Computer Science, vol 13982. Springer, Cham. https://doi.org/10.1007/978-3-031-28241-6_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-28241-6_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28240-9

  • Online ISBN: 978-3-031-28241-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation