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Document Level Event Extraction from Narratives

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Advances in Information Retrieval (ECIR 2024)

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Abstract

One of the fundamental tasks in Information Extraction (IE) is Event Extraction (EE), an extensively studied and challenging task [13, 15], which aims to identify and classify events from the text.

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Acknowledgements

This work is financed by National Funds through the FCT - Fundação para a Ciência e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology) within the project StorySense, with reference 2022.09312.PTDC (DOI 10.54499/2022.09312.PTDC).

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Authors and Affiliations

  1. FCUP - University of Porto, Porto, Portugal

    Luís Filipe Cunha

  2. LIAAD - INESC TEC, Porto, Portugal

    Luís Filipe Cunha

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  1. Luís Filipe Cunha
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Correspondence to Luís Filipe Cunha .

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Editors and Affiliations

  1. Georgetown University, Washington, WA, USA

    Nazli Goharian

  2. University of Pisa, PISA, Pisa, Italy

    Nicola Tonellotto

  3. King's College London, London, UK

    Yulan He

  4. University College London, London, UK

    Aldo Lipani

  5. University of Glasgow, Glasgow, UK

    Graham McDonald

  6. University of Glasgow, Glasgow, UK

    Craig Macdonald

  7. University of Glasgow, Glasgow, UK

    Iadh Ounis

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Cunha, L.F. (2024). Document Level Event Extraction from Narratives. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14612. Springer, Cham. https://doi.org/10.1007/978-3-031-56069-9_38

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  • DOI: https://doi.org/10.1007/978-3-031-56069-9_38

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