@inproceedings{heyns-van-zaanen-2024-annotating,
title = "Annotating Mystery Novels: Guidelines and Adaptations",
author = "Heyns, Nuette and
Van Zaanen, Menno",
editor = "Lal, Yash Kumar and
Clark, Elizabeth and
Iyyer, Mohit and
Chaturvedi, Snigdha and
Brei, Anneliese and
Brahman, Faeze and
Chandu, Khyathi Raghavi",
booktitle = "Proceedings of the The 6th Workshop on Narrative Understanding",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.wnu-1.9",
pages = "55--66",
abstract = "To understand how stories are structured, we would like to be able to analyze the architecture of narratives. This article reviews and compares existing annotation guidelines for scene and narrative level annotation. We propose new guidelines, based on existing ones, and show how these can be effectively extended from general-purpose to specialized contexts, such as mystery novels which feature unique narrative elements like red herrings and plot twists. This provides a controlled environment for examining genre-specific event structuring. Additionally, we present a newly annotated genre-specific dataset of mystery novels, offering valuable resources for training and evaluating models in narrative understanding. This study aims to enhance annotation practices and advance the development of computational models for narrative analysis.",
}
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<abstract>To understand how stories are structured, we would like to be able to analyze the architecture of narratives. This article reviews and compares existing annotation guidelines for scene and narrative level annotation. We propose new guidelines, based on existing ones, and show how these can be effectively extended from general-purpose to specialized contexts, such as mystery novels which feature unique narrative elements like red herrings and plot twists. This provides a controlled environment for examining genre-specific event structuring. Additionally, we present a newly annotated genre-specific dataset of mystery novels, offering valuable resources for training and evaluating models in narrative understanding. This study aims to enhance annotation practices and advance the development of computational models for narrative analysis.</abstract>
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%0 Conference Proceedings
%T Annotating Mystery Novels: Guidelines and Adaptations
%A Heyns, Nuette
%A Van Zaanen, Menno
%Y Lal, Yash Kumar
%Y Clark, Elizabeth
%Y Iyyer, Mohit
%Y Chaturvedi, Snigdha
%Y Brei, Anneliese
%Y Brahman, Faeze
%Y Chandu, Khyathi Raghavi
%S Proceedings of the The 6th Workshop on Narrative Understanding
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F heyns-van-zaanen-2024-annotating
%X To understand how stories are structured, we would like to be able to analyze the architecture of narratives. This article reviews and compares existing annotation guidelines for scene and narrative level annotation. We propose new guidelines, based on existing ones, and show how these can be effectively extended from general-purpose to specialized contexts, such as mystery novels which feature unique narrative elements like red herrings and plot twists. This provides a controlled environment for examining genre-specific event structuring. Additionally, we present a newly annotated genre-specific dataset of mystery novels, offering valuable resources for training and evaluating models in narrative understanding. This study aims to enhance annotation practices and advance the development of computational models for narrative analysis.
%U https://aclanthology.org/2024.wnu-1.9
%P 55-66
Markdown (Informal)
[Annotating Mystery Novels: Guidelines and Adaptations](https://aclanthology.org/2024.wnu-1.9) (Heyns & Van Zaanen, WNU 2024)
ACL