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            <namePart type="given">Donia</namePart>
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            <namePart type="family">Bel</namePart>
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    <abstract>We analyze the use and interpretation of modal expressions in a corpus of situated human-robot dialogue and ask how to effectively represent these expressions for automatic learning. We present a two-level annotation scheme for modality that captures both content and intent, integrating a logic-based, semantic representation and a task-oriented, pragmatic representation that maps to our robot’s capabilities. Data from our annotation task reveals that the interpretation of modal expressions in human-robot dialogue is quite diverse, yet highly constrained by the physical environment and asymmetrical speaker/addressee relationship. We sketch a formal model of human-robot common ground in which modality can be grounded and dynamically interpreted.</abstract>
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%0 Conference Proceedings
%T A Two-Level Interpretation of Modality in Human-Robot Dialogue
%A Donatelli, Lucia
%A Lai, Kenneth
%A Pustejovsky, James
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F donatelli-etal-2020-two
%X We analyze the use and interpretation of modal expressions in a corpus of situated human-robot dialogue and ask how to effectively represent these expressions for automatic learning. We present a two-level annotation scheme for modality that captures both content and intent, integrating a logic-based, semantic representation and a task-oriented, pragmatic representation that maps to our robot’s capabilities. Data from our annotation task reveals that the interpretation of modal expressions in human-robot dialogue is quite diverse, yet highly constrained by the physical environment and asymmetrical speaker/addressee relationship. We sketch a formal model of human-robot common ground in which modality can be grounded and dynamically interpreted.
%R 10.18653/v1/2020.coling-main.373
%U https://aclanthology.org/2020.coling-main.373
%U https://doi.org/10.18653/v1/2020.coling-main.373
%P 4222-4238

Markdown (Informal)

[A Two-Level Interpretation of Modality in Human-Robot Dialogue](https://aclanthology.org/2020.coling-main.373) (Donatelli et al., COLING 2020)

• A Two-Level Interpretation of Modality in Human-Robot Dialogue (Donatelli et al., COLING 2020)

ACL

• Lucia Donatelli, Kenneth Lai, and James Pustejovsky. 2020. A Two-Level Interpretation of Modality in Human-Robot Dialogue. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4222–4238, Barcelona, Spain (Online). International Committee on Computational Linguistics.