Recognizing Arrow Of Time In The Short Stories

Fahimeh Hosseini, Hosein Fooladi, Mohammad Reza Samsami


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.
Anthology ID:
W19-3606
Volume:
Proceedings of the 2019 Workshop on Widening NLP
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WS | WiNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
14–16
Language:
URL:
https://www.aclweb.org/anthology/W19-3606
DOI:
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