@inproceedings{jindal-etal-2020-killed,
title = "Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection",
author = "Jindal, Disha and
Deutsch, Daniel and
Roth, Dan",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.10",
doi = "10.18653/v1/2020.coling-main.10",
pages = "114--124",
abstract = "Identifying the key events in a document is critical to holistically understanding its important information. Although measuring the salience of events is highly contextual, most previous work has used a limited representation of events that omits essential information. In this work, we propose a highly contextual model of event salience that uses a rich representation of events, incorporates document-level information and allows for interactions between latent event encodings. Our experimental results on an event salience dataset demonstrate that our model improves over previous work by an absolute 2-4{\%} on standard metrics, establishing a new state-of-the-art performance for the task. We also propose a new evaluation metric that addresses flaws in previous evaluation methodologies. Finally, we discuss the importance of salient event detection for the downstream task of summarization.",
}
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%0 Conference Proceedings
%T Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection
%A Jindal, Disha
%A Deutsch, Daniel
%A Roth, Dan
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F jindal-etal-2020-killed
%X Identifying the key events in a document is critical to holistically understanding its important information. Although measuring the salience of events is highly contextual, most previous work has used a limited representation of events that omits essential information. In this work, we propose a highly contextual model of event salience that uses a rich representation of events, incorporates document-level information and allows for interactions between latent event encodings. Our experimental results on an event salience dataset demonstrate that our model improves over previous work by an absolute 2-4% on standard metrics, establishing a new state-of-the-art performance for the task. We also propose a new evaluation metric that addresses flaws in previous evaluation methodologies. Finally, we discuss the importance of salient event detection for the downstream task of summarization.
%R 10.18653/v1/2020.coling-main.10
%U https://aclanthology.org/2020.coling-main.10
%U https://doi.org/10.18653/v1/2020.coling-main.10
%P 114-124
Markdown (Informal)
[Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection](https://aclanthology.org/2020.coling-main.10) (Jindal et al., COLING 2020)
ACL