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    <abstract>For several natural language processing (NLP) tasks, span representation design is attracting considerable attention as a promising new technique; a common basis for an effective design has been established. With such basis, exploring task-dependent extensions for argumentation structure parsing (ASP) becomes an interesting research direction. This study investigates (i) span representation originally developed for other NLP tasks and (ii) a simple task-dependent extension for ASP. Our extensive experiments and analysis show that these representations yield high performance for ASP and provide some challenging types of instances to be parsed.</abstract>
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%0 Conference Proceedings
%T An Empirical Study of Span Representations in Argumentation Structure Parsing
%A Kuribayashi, Tatsuki
%A Ouchi, Hiroki
%A Inoue, Naoya
%A Reisert, Paul
%A Miyoshi, Toshinori
%A Suzuki, Jun
%A Inui, Kentaro
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F kuribayashi-etal-2019-empirical
%X For several natural language processing (NLP) tasks, span representation design is attracting considerable attention as a promising new technique; a common basis for an effective design has been established. With such basis, exploring task-dependent extensions for argumentation structure parsing (ASP) becomes an interesting research direction. This study investigates (i) span representation originally developed for other NLP tasks and (ii) a simple task-dependent extension for ASP. Our extensive experiments and analysis show that these representations yield high performance for ASP and provide some challenging types of instances to be parsed.
%R 10.18653/v1/P19-1464
%U https://aclanthology.org/P19-1464
%U https://doi.org/10.18653/v1/P19-1464
%P 4691-4698

Markdown (Informal)

[An Empirical Study of Span Representations in Argumentation Structure Parsing](https://aclanthology.org/P19-1464) (Kuribayashi et al., ACL 2019)

• An Empirical Study of Span Representations in Argumentation Structure Parsing (Kuribayashi et al., ACL 2019)

ACL

• Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, and Kentaro Inui. 2019. An Empirical Study of Span Representations in Argumentation Structure Parsing. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4691–4698, Florence, Italy. Association for Computational Linguistics.