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        <title>A Mention-Based System for Revision Requirements Detection</title>
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        <namePart type="given">Ahmed</namePart>
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            <namePart type="given">Michael</namePart>
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    <abstract>Exploring aspects of sentential meaning that are implicit or underspecified in context is important for sentence understanding. In this paper, we propose a novel architecture based on mentions for revision requirements detection. The goal is to improve understandability, addressing some types of revisions, especially for the Replaced Pronoun type. We show that our mention-based system can predict replaced pronouns well on the mention-level. However, our combined sentence-level system does not improve on the sentence-level BERT baseline. We also present additional contrastive systems, and show results for each type of edit.</abstract>
    <identifier type="citekey">ruby-etal-2021-mention</identifier>
    <identifier type="doi">10.18653/v1/2021.unimplicit-1.7</identifier>
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%0 Conference Proceedings
%T A Mention-Based System for Revision Requirements Detection
%A Ruby, Ahmed
%A Hardmeier, Christian
%A Stymne, Sara
%Y Roth, Michael
%Y Tsarfaty, Reut
%Y Goldberg, Yoav
%S Proceedings of the 1st Workshop on Understanding Implicit and Underspecified Language
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F ruby-etal-2021-mention
%X Exploring aspects of sentential meaning that are implicit or underspecified in context is important for sentence understanding. In this paper, we propose a novel architecture based on mentions for revision requirements detection. The goal is to improve understandability, addressing some types of revisions, especially for the Replaced Pronoun type. We show that our mention-based system can predict replaced pronouns well on the mention-level. However, our combined sentence-level system does not improve on the sentence-level BERT baseline. We also present additional contrastive systems, and show results for each type of edit.
%R 10.18653/v1/2021.unimplicit-1.7
%U https://aclanthology.org/2021.unimplicit-1.7/
%U https://doi.org/10.18653/v1/2021.unimplicit-1.7
%P 58-63

Markdown (Informal)

[A Mention-Based System for Revision Requirements Detection](https://aclanthology.org/2021.unimplicit-1.7/) (Ruby et al., unimplicit 2021)

• A Mention-Based System for Revision Requirements Detection (Ruby et al., unimplicit 2021)

ACL

• Ahmed Ruby, Christian Hardmeier, and Sara Stymne. 2021. A Mention-Based System for Revision Requirements Detection. In Proceedings of the 1st Workshop on Understanding Implicit and Underspecified Language, pages 58–63, Online. Association for Computational Linguistics.