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Hits 1 – 3 of 3
1
Survival text regression for time-to-event prediction in conversations ...
De Kock, C
;
Vlachos, Andreas
. - : Apollo - University of Cambridge Repository, 2021
Abstract:
Time-to-event prediction tasks are common in conversation modelling, for applications such as predicting the length of a conversation or when a user will stop contributing to a platform. Despite the fact that it is natural to frame such predictions as regression tasks, recent work has modelled them as classification tasks, determining whether the time-to-event is greater than a pre-determined cut-off point. While this allows for the application of classification models which are well studied in NLP, it imposes a formulation that is contrived, as well as less informative. In this paper, we explore how to handle time-to-event forecasting in conversations as regression tasks. We focus on a family of regression techniques known as survival regression, which are commonly used in the context of healthcare and reliability engineering. We adapt these models to time-to-event prediction in conversations, using linguistic markers as features. On three datasets, we demonstrate that they outperform commonly considered ...
URL:
https://www.repository.cam.ac.uk/handle/1810/335837
https://dx.doi.org/10.17863/cam.83270
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2
I beg to differ: A study of constructive disagreement in online conversations ...
De Kock, C
;
Vlachos, Andreas
. - : Apollo - University of Cambridge Repository, 2021
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I beg to differ: A study of constructive disagreement in online conversations
de Kock, C
;
Vlachos, Andreas
. - : Association for Computational Linguistics, 2021. : https://www.aclweb.org/anthology/2021.eacl-main.173, 2021. : EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, 2021
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