Event Annotations of Prose

Vauth, Michael; Gius, Evelyn

doi:10.5334/johd.83

Cited by 2 publications

(4 citation statements)

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“…Vauth et al detect events through the actions/verbs that define them and then classify those events by their eventfulness to assign scores that can be plotted. The resulting line plots provide a visualization of the eventfulness of the story where peak maxima denote the most eventful parts of the story (Vauth et al , 2021).…”

Section: History and Related Workmentioning

confidence: 99%

“…As stated above in Section 2.2, visualizing a story as a plotting of measured values, such as using the sentiment of the text or in the aforementioned work of Vauth et al (2021), is not a new concept. Here we take a novel approach by plotting the appearance of entities in the story to visualize the story content in a scatter plot and then cluster those entities in an attempt to isolate the individual scenes of the narrative.…”

Section: Narrative As a Scatter Plot Of Entitiesmentioning

confidence: 99%

Section: Narrative As a Scatter Plot Of Entitiesmentioning

confidence: 99%

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Plot extraction and the visualization of narrative flow

DeBuse,

Warnick

2023

Nat. Lang. Eng.

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This article discusses the development of an automated plot extraction system for narrative texts. Acknowledging the distinction between plot, as an object of study with its own rich history and literature, and features of a text that may be automatically extractable, we begin by characterizing a text’s scatter plot of entities. This visualization of a text reveals entity density patterns characterizing the particular telling of the story under investigation and leads to effective scene partitioning. We then introduce the concept of narrative flow, a graph representation of the narrative ordering of scenes (the syuzhet) that includes how entities move through scenes from the text, and investigate the degree to which narrative flow can be automatically extracted given a glossary of plot-important objects, actors, and locations. Our subsequent analysis then explores the correlation between subjective notions of plot and the information extracted through these visualizations. In particular, we discuss narrative structures commonly found within the graphs and make comparisons with ground truth narrative flow graphs, showing mixed results highlighting the difficulty of plot extraction. However, the visual artifacts and common structural relationships seen in the graphs provide insight into narrative and its underlying plot.

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Section: History and Related Workmentioning

confidence: 99%

Section: Narrative As a Scatter Plot Of Entitiesmentioning

confidence: 99%

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Plot extraction and the visualization of narrative flow

DeBuse,

Warnick

2023

Nat. Lang. Eng.

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“…Such a definition can be useful because it highlights the array of narrative elements that require computational solutions to "understand" the cultural meaning of a story. Such applications have included: character detection (Bamman et al, 2014;Jahan et al, 2018;Piper, 2023b;Stammbach et al, 2022), object detection (Piper and Bagga, 2022a), character relation detection (Labatut and Bost, 2019;Kraicer and Piper, 2019), event detection (Vauth et al, 2021), geographic and spatial understanding (Wilkens, 2013;Evans and Wilkens, 2018;Piatti et al, 2013;Erlin et al, 2021), temporal understanding (Underwood, 2018;Yauney et al, 2019;Vossen et al, 2021;Gangal et al, 2022), and causality mining (Meehan and Piper, 2022). A full review can be found in and Santana et al (2023).…”

Section: The Elements Of Narrativementioning

confidence: 99%

Computational Narrative Understanding: A Big Picture Analysis

Piper

2023

Proceedings of the Big Picture Workshop

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This paper provides an overview of outstanding major research goals for the field of computational narrative understanding. Storytelling is an essential human practice, one that provides a sense of personal meaning, shared sense of community, and individual enjoyment. A number of research domains have increasingly focused on storytelling as a key mechanism for explaining human behavior. Now is an opportune moment to provide a vision of the contributions that computational narrative understanding can make towards this collective endeavor and the challenges facing the field. In addition to providing an overview of the elements of narrative, this paper outlines three major lines of inquiry: understanding the multimodality of narrative; the temporal patterning of narrative (narrative "shape"); and sociocultural narrative schemas, i.e. collective narratives. The paper concludes with a call for more inter-disciplinary working groups and deeper investment in building cross-cultural and multimodal narrative datasets.

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Event Annotations of Prose

Cited by 2 publications

References 1 publication

Plot extraction and the visualization of narrative flow

Plot extraction and the visualization of narrative flow

Computational Narrative Understanding: A Big Picture Analysis

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