@inproceedings{hosseini-etal-2019-recognizing,
title = "Recognizing Arrow Of Time In The Short Stories",
author = "Hosseini, Fahimeh and
Fooladi, Hosein and
Samsami, Mohammad Reza",
editor = "Axelrod, Amittai and
Yang, Diyi and
Cunha, Rossana and
Shaikh, Samira and
Waseem, Zeerak",
booktitle = "Proceedings of the 2019 Workshop on Widening NLP",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3606",
pages = "14--16",
abstract = "Recognizing the arrow of time in the context of paragraphs in short stories is a challenging task. i.e., given only two paragraphs (excerpted from a random position in a short story), determining which comes first and which comes next is a difficult task even for humans. In this paper, we have collected and curated a novel dataset for tackling this challenging task. We have shown that a pre-trained BERT architecture achieves reasonable accuracy on the task, and outperforms RNN-based architectures.",
}
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<abstract>Recognizing the arrow of time in the context of paragraphs in short stories is a challenging task. i.e., given only two paragraphs (excerpted from a random position in a short story), determining which comes first and which comes next is a difficult task even for humans. In this paper, we have collected and curated a novel dataset for tackling this challenging task. We have shown that a pre-trained BERT architecture achieves reasonable accuracy on the task, and outperforms RNN-based architectures.</abstract>
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%0 Conference Proceedings
%T Recognizing Arrow Of Time In The Short Stories
%A Hosseini, Fahimeh
%A Fooladi, Hosein
%A Samsami, Mohammad Reza
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F hosseini-etal-2019-recognizing
%X Recognizing the arrow of time in the context of paragraphs in short stories is a challenging task. i.e., given only two paragraphs (excerpted from a random position in a short story), determining which comes first and which comes next is a difficult task even for humans. In this paper, we have collected and curated a novel dataset for tackling this challenging task. We have shown that a pre-trained BERT architecture achieves reasonable accuracy on the task, and outperforms RNN-based architectures.
%U https://aclanthology.org/W19-3606
%P 14-16
Markdown (Informal)
[Recognizing Arrow Of Time In The Short Stories](https://aclanthology.org/W19-3606) (Hosseini et al., WiNLP 2019)
ACL
- Fahimeh Hosseini, Hosein Fooladi, and Mohammad Reza Samsami. 2019. Recognizing Arrow Of Time In The Short Stories. In Proceedings of the 2019 Workshop on Widening NLP, pages 14–16, Florence, Italy. Association for Computational Linguistics.