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research-article

A survey on narrative extraction from textual data

Authors:

Brenda Santana,

Ricardo Campos,

Purificação Silvano,

Sérgio NunesAuthors Info & Claims

Artificial Intelligence Review, Volume 56, Issue 8

Pages 8393 - 8435

https://doi.org/10.1007/s10462-022-10338-7

Published: 06 January 2023 Publication History

Abstract

Narratives are present in many forms of human expression and can be understood as a fundamental way of communication between people. Computational understanding of the underlying story of a narrative, however, may be a rather complex task for both linguists and computational linguistics. Such task can be approached using natural language processing techniques to automatically extract narratives from texts. In this paper, we present an in depth survey of narrative extraction from text, providing a establishing a basis/framework for the study roadmap to the study of this area as a whole as a means to consolidate a view on this line of research. We aim to fulfill the current gap by identifying important research efforts at the crossroad between linguists and computer scientists. In particular, we highlight the importance and complexity of the annotation process, as a crucial step for the training stage. Next, we detail methods and approaches regarding the identification and extraction of narrative components, their linkage and understanding of likely inherent relationships, before detailing formal narrative representation structures as an intermediate step for visualization and data exploration purposes. We then move into the narrative evaluation task aspects, and conclude this survey by highlighting important open issues under the domain of narratives extraction from texts that are yet to be explored.

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Campos RJorge AJatowt ABhatia SLitvak M(2024)The 7th International Workshop on Narrative Extraction from Texts: Text2Story 2024Advances in Information Retrieval10.1007/978-3-031-56069-9_52(391-397)Online publication date: 24-Mar-2024
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Sousa HCampos RJorge AChen HDuh WHuang HKato MMothe JPoblete B(2023)tieval: An Evaluation Framework for Temporal Information Extraction SystemsProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591892(2871-2879)Online publication date: 19-Jul-2023
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cover image Artificial Intelligence Review

Artificial Intelligence Review Volume 56, Issue 8

Aug 2023

1543 pages

ISSN:0269-2821

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Published: 06 January 2023

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Campos RJorge AJatowt ABhatia SLitvak M(2024)The 7th International Workshop on Narrative Extraction from Texts: Text2Story 2024Advances in Information Retrieval10.1007/978-3-031-56069-9_52(391-397)Online publication date: 24-Mar-2024
https://dl.acm.org/doi/10.1007/978-3-031-56069-9_52
Sousa HCampos RJorge AChen HDuh WHuang HKato MMothe JPoblete B(2023)tieval: An Evaluation Framework for Temporal Information Extraction SystemsProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591892(2871-2879)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591892
Campos RJorge AJatowt ABhatia SLitvak M(2023)The 6th International Workshop on Narrative Extraction from Texts: Text2Story 2023Advances in Information Retrieval10.1007/978-3-031-28241-6_40(377-383)Online publication date: 2-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-28241-6_40
Castro MJorge ACampos R(2023)TweetStream2Story: Narrative Extraction from Tweets in Real TimeAdvances in Information Retrieval10.1007/978-3-031-28241-6_17(217-223)Online publication date: 2-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-28241-6_17

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