Skip to main content
SpringerLink
Log in

The 5th International Workshop on Narrative Extraction from Texts: Text2Story 2022

  • Conference paper
  • First Online:
Book cover Advances in Information Retrieval (ECIR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13186))

Included in the following conference series:

Abstract

Narrative extraction, understanding, verification, and visualization are currently popular topics for users interested in achieving a deeper understanding of text, researchers who want to develop accurate methods for text mining, and commercial companies that strive to provide efficient tools for that. Information Retrieval (IR), Natural Language Processing (NLP), Machine Learning (ML) and Computational Linguistics (CL) already offer many instruments that aid the exploration of narrative elements in text and within unstructured data. Despite evident advances in the last couple of years, the problem of automatically representing narratives in a structured form and interpreting them, beyond the conventional identification of common events, entities and their relationships, is yet to be solved. This workshop held virtually on April 10th, 2022 in conjunction with the 44th European Conference on Information Retrieval (ECIR’22) aims at presenting and discussing current and future directions for IR, NLP, ML and other computational linguistics-related fields capable of improving the automatic understanding of narratives. It includes sessions devoted to research, demo, position papers, work-in-progress, project description, nectar, and negative results 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 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
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'20) co-located to Coling ’20, Barcelona, Spain (Online), 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: 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

  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., Finlayson, M.: The 4th International Workshop on Narrative Extraction from Texts: Text2Story 2021. In: European Conference on Information Retrieval, pp. 701–704. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72240-1_84

  6. Campos, R., Jorge, A., Jatowt, A., Sumit, B.: Third International Workshop on Narrative Extraction from Texts (Text2Story'20). In: Jose, J., et al., (eds.) ECIR 2020, LNCS, vol. 12036, pp. 648–653 (2020)

    Google Scholar 

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

    Google Scholar 

  8. 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 

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

    Google Scholar 

  10. Figueiras, A.: How to tell stories using visualization: strategies towards Narrative Visualization. Ph.D. Dissertation. Universidade Nova de Lisboa, Lisboa, Portugal (2016)

    Google Scholar 

  11. 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 

  12. 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 

  13. Jorge, A., Campos, R., Jatowt, A., Bhatia, S.: Second International Workshop on Narrative Extraction from Texts (Text2Story’19). In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hau, C., Hiemstra, D., (eds.) ECIR 2019, LNCS, vol. 11438, pp. 389–393 (2019)

    Google Scholar 

  14. Jorge, A., Campos, R., Jatowt, A., Nunes, S.: First International Workshop on Narrative Extraction from Texts (Text2Story’18). In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A., (eds.) ECIR 2018, LNCS, vol. 10772, pp. 833–834 (2018)

    Google Scholar 

  15. 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 

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

    Article  Google Scholar 

  17. Martinez-Alvarez, M., et al.: First International Workshop on Recent Trends in News Information Retrieval (NewsIR’16). In: Nicola, F., et al. (eds.) ECIR 2016, LNCS, vol. 9626, pp. 878–882 (2016)

    Google Scholar 

  18. 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 

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

    Article  Google Scholar 

  20. 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 

  21. 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 

  22. 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)

    Google Scholar 

  23. 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, pp. 335–344 (2019)

    Google Scholar 

  24. 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 

  25. 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 were financed by the ERDF – European Regional Development Fund through the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia within project PTDC/CCI-COM/31857/2017 (NORTE-01-0145-FEDER-03185). This funding fits under the research line of the Text2Story project.

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, Ashdod, 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. Martin Luther University Halle-Wittenberg, Halle, Germany

    Matthias Hagen

  2. Leiden University, Leiden, The Netherlands

    Suzan Verberne

  3. University of Glasgow, Glasgow, UK

    Craig Macdonald

  4. University of Duisburg-Essen, Essen, Germany

    Christin Seifert

  5. University of Stavanger, Stavanger, Norway

    Krisztian Balog

  6. Norwegian University of Science and Technology, Trondheim, Norway

    Kjetil Nørvåg

  7. University of Stavanger, Stavanger, Norway

    Vinay Setty

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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. (2022). The 5th International Workshop on Narrative Extraction from Texts: Text2Story 2022. In: Hagen, M., et al. Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13186. Springer, Cham. https://doi.org/10.1007/978-3-030-99739-7_68

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-99739-7_68

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99738-0

  • Online ISBN: 978-3-030-99739-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation