Emotion Arcs of Student Narratives

Swapna Somasundaran, Xianyang Chen, Michael Flor


Abstract
This paper studies emotion arcs in student narratives. We construct emotion arcs based on event affect and implied sentiments, which correspond to plot elements in the story. We show that student narratives can show elements of plot structure in their emotion arcs and that properties of these arcs can be useful indicators of narrative quality. We build a system and perform analysis to show that our arc-based features are complementary to previously studied sentiment features in this area.
Anthology ID:
2020.nuse-1.12
Volume:
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events
Month:
July
Year:
2020
Address:
Online
Venue:
NUSE
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
97–107
Language:
URL:
https://aclanthology.org/2020.nuse-1.12
DOI:
10.18653/v1/2020.nuse-1.12
Bibkey:
Cite (ACL):
Swapna Somasundaran, Xianyang Chen, and Michael Flor. 2020. Emotion Arcs of Student Narratives. In Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, pages 97–107, Online. Association for Computational Linguistics.
Cite (Informal):
Emotion Arcs of Student Narratives (Somasundaran et al., NUSE 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.nuse-1.12.pdf
Video:
 http://slideslive.com/38929751