@inproceedings{hatzel-biemann-2023-narrative,
title = "Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings",
author = "Hatzel, Hans Ole and
Biemann, Chris",
editor = "Akoury, Nader and
Clark, Elizabeth and
Iyyer, Mohit and
Chaturvedi, Snigdha and
Brahman, Faeze and
Chandu, Khyathi",
booktitle = "Proceedings of the 5th Workshop on Narrative Understanding",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.wnu-1.19",
doi = "10.18653/v1/2023.wnu-1.19",
pages = "118--127",
abstract = "We present a novel approach to modeling narratives using narrative chain embeddings.A new dataset of narrative chains extracted from German news texts is presented. With neural methods, we produce models for both German and English that achieve state-of-the-art performance on the Multiple Choice Narrative Cloze task. Subsequently, we perform an extrinsic evaluation of the embeddings our models produce and show that they perform rather poorly in identifying narratively similar texts. We explore some of the reasons for this underperformance and discuss the upsides of our approach. We provide an outlook on alternative ways to model narratives, as well as techniques for evaluating such models.",
}
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<abstract>We present a novel approach to modeling narratives using narrative chain embeddings.A new dataset of narrative chains extracted from German news texts is presented. With neural methods, we produce models for both German and English that achieve state-of-the-art performance on the Multiple Choice Narrative Cloze task. Subsequently, we perform an extrinsic evaluation of the embeddings our models produce and show that they perform rather poorly in identifying narratively similar texts. We explore some of the reasons for this underperformance and discuss the upsides of our approach. We provide an outlook on alternative ways to model narratives, as well as techniques for evaluating such models.</abstract>
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%0 Conference Proceedings
%T Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings
%A Hatzel, Hans Ole
%A Biemann, Chris
%Y Akoury, Nader
%Y Clark, Elizabeth
%Y Iyyer, Mohit
%Y Chaturvedi, Snigdha
%Y Brahman, Faeze
%Y Chandu, Khyathi
%S Proceedings of the 5th Workshop on Narrative Understanding
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F hatzel-biemann-2023-narrative
%X We present a novel approach to modeling narratives using narrative chain embeddings.A new dataset of narrative chains extracted from German news texts is presented. With neural methods, we produce models for both German and English that achieve state-of-the-art performance on the Multiple Choice Narrative Cloze task. Subsequently, we perform an extrinsic evaluation of the embeddings our models produce and show that they perform rather poorly in identifying narratively similar texts. We explore some of the reasons for this underperformance and discuss the upsides of our approach. We provide an outlook on alternative ways to model narratives, as well as techniques for evaluating such models.
%R 10.18653/v1/2023.wnu-1.19
%U https://aclanthology.org/2023.wnu-1.19
%U https://doi.org/10.18653/v1/2023.wnu-1.19
%P 118-127
Markdown (Informal)
[Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings](https://aclanthology.org/2023.wnu-1.19) (Hatzel & Biemann, WNU 2023)
ACL