@inproceedings{mousavi-etal-2023-whats,
title = "What{'}s New? Identifying the Unfolding of New Events in a Narrative",
author = "Mousavi, Seyed Mahed and
Tanaka, Shohei and
Roccabruna, Gabriel and
Yoshino, Koichiro and
Nakamura, Satoshi and
Riccardi, Giuseppe",
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-1.1",
doi = "10.18653/v1/2023.wnu-1.1",
pages = "1--10",
abstract = "Narratives include a rich source of events unfolding over time and context. Automatic understanding of these events provides a summarised comprehension of the narrative for further computation (such as reasoning). In this paper, we study the Information Status (IS) of the events and propose a novel challenging task: the automatic identification of new events in a narrative. We define an event as a triplet of subject, predicate, and object. The event is categorized as new with respect to the discourse context and whether it can be inferred through commonsense reasoning. We annotated a publicly available corpus of narratives with the new events at sentence level using human annotators. We present the annotation protocol and study the quality of the annotation and the difficulty of the task. We publish the annotated dataset, annotation materials, and machine learning baseline models for the task of new event extraction for narrative understanding.",
}
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%0 Conference Proceedings
%T What’s New? Identifying the Unfolding of New Events in a Narrative
%A Mousavi, Seyed Mahed
%A Tanaka, Shohei
%A Roccabruna, Gabriel
%A Yoshino, Koichiro
%A Nakamura, Satoshi
%A Riccardi, Giuseppe
%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 mousavi-etal-2023-whats
%X Narratives include a rich source of events unfolding over time and context. Automatic understanding of these events provides a summarised comprehension of the narrative for further computation (such as reasoning). In this paper, we study the Information Status (IS) of the events and propose a novel challenging task: the automatic identification of new events in a narrative. We define an event as a triplet of subject, predicate, and object. The event is categorized as new with respect to the discourse context and whether it can be inferred through commonsense reasoning. We annotated a publicly available corpus of narratives with the new events at sentence level using human annotators. We present the annotation protocol and study the quality of the annotation and the difficulty of the task. We publish the annotated dataset, annotation materials, and machine learning baseline models for the task of new event extraction for narrative understanding.
%R 10.18653/v1/2023.wnu-1.1
%U https://aclanthology.org/2023.wnu-1.1
%U https://doi.org/10.18653/v1/2023.wnu-1.1
%P 1-10
Markdown (Informal)
[What’s New? Identifying the Unfolding of New Events in a Narrative](https://aclanthology.org/2023.wnu-1.1) (Mousavi et al., WNU 2023)
ACL