@inproceedings{shen-etal-2022-easy,
title = "Easy-First Bottom-Up Discourse Parsing via Sequence Labelling",
author = "Shen, Andrew and
Koto, Fajri and
Lau, Jey Han and
Baldwin, Timothy",
editor = "Braud, Chloe and
Hardmeier, Christian and
Li, Junyi Jessy and
Loaiciga, Sharid and
Strube, Michael and
Zeldes, Amir",
booktitle = "Proceedings of the 3rd Workshop on Computational Approaches to Discourse",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea and Online",
publisher = "International Conference on Computational Linguistics",
url = "https://aclanthology.org/2022.codi-1.5",
pages = "35--41",
abstract = "We propose a novel unconstrained bottom-up approach for rhetorical discourse parsing based on sequence labelling of adjacent pairs of discourse units (DUs), based on the framework of Koto et al. (2021). We describe the unique training requirements of an unconstrained parser, and explore two different training procedures: (1) fixed left-to-right; and (2) random order in tree construction. Additionally, we introduce a novel dynamic oracle for unconstrained bottom-up parsing. Our proposed parser achieves competitive results for bottom-up rhetorical discourse parsing.",
}
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%0 Conference Proceedings
%T Easy-First Bottom-Up Discourse Parsing via Sequence Labelling
%A Shen, Andrew
%A Koto, Fajri
%A Lau, Jey Han
%A Baldwin, Timothy
%Y Braud, Chloe
%Y Hardmeier, Christian
%Y Li, Junyi Jessy
%Y Loaiciga, Sharid
%Y Strube, Michael
%Y Zeldes, Amir
%S Proceedings of the 3rd Workshop on Computational Approaches to Discourse
%D 2022
%8 October
%I International Conference on Computational Linguistics
%C Gyeongju, Republic of Korea and Online
%F shen-etal-2022-easy
%X We propose a novel unconstrained bottom-up approach for rhetorical discourse parsing based on sequence labelling of adjacent pairs of discourse units (DUs), based on the framework of Koto et al. (2021). We describe the unique training requirements of an unconstrained parser, and explore two different training procedures: (1) fixed left-to-right; and (2) random order in tree construction. Additionally, we introduce a novel dynamic oracle for unconstrained bottom-up parsing. Our proposed parser achieves competitive results for bottom-up rhetorical discourse parsing.
%U https://aclanthology.org/2022.codi-1.5
%P 35-41
Markdown (Informal)
[Easy-First Bottom-Up Discourse Parsing via Sequence Labelling](https://aclanthology.org/2022.codi-1.5) (Shen et al., CODI 2022)
ACL
- Andrew Shen, Fajri Koto, Jey Han Lau, and Timothy Baldwin. 2022. Easy-First Bottom-Up Discourse Parsing via Sequence Labelling. In Proceedings of the 3rd Workshop on Computational Approaches to Discourse, pages 35–41, Gyeongju, Republic of Korea and Online. International Conference on Computational Linguistics.