Language (re)modelling: Towards embodied language understanding

Ronen Tamari; Chen Shani; Tom Hope; Miriam R.L. Petruck; Omri Abend; Dafna Shahaf

Language (re)modelling: Towards embodied language understanding

Ronen Tamari, Chen Shani, Tom Hope^*, Miriam R.L. Petruck, Omri Abend, Dafna Shahaf

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

While natural language understanding (NLU) is advancing rapidly, today's technology differs from human-like language understanding in fundamental ways, notably in its inferior efficiency, interpretability, and generalization. This work proposes an approach to representation and learning based on the tenets of embodied cognitive linguistics (ECL). According to ECL, natural language is inherently executable (like programming languages), driven by mental simulation and metaphoric mappings over hierarchical compositions of structures and schemata learned through embodied interaction. This position paper argues that the use of grounding by metaphoric inference and simulation will greatly benefit NLU systems, and proposes a system architecture along with a roadmap towards realizing this vision.

Original language	English
Title of host publication	ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
Publisher	Association for Computational Linguistics (ACL)
Pages	6268-6281
Number of pages	14
ISBN (Electronic)	9781952148255
State	Published - 2020
Event	58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 - Virtual, Online, United States Duration: 5 Jul 2020 → 10 Jul 2020

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)	0736-587X

Conference

Conference	58th Annual Meeting of the Association for Computational Linguistics, ACL 2020
Country/Territory	United States
City	Virtual, Online
Period	5/07/20 → 10/07/20

Bibliographical note

Publisher Copyright:
© 2020 Association for Computational Linguistics

Cite this

Tamari, R., Shani, C., Hope, T., Petruck, M. R. L., Abend, O., & Shahaf, D. (2020). Language (re)modelling: Towards embodied language understanding. In ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (pp. 6268-6281). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).

Tamari, Ronen ; Shani, Chen ; Hope, Tom et al. / Language (re)modelling : Towards embodied language understanding. ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2020. pp. 6268-6281 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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abstract = "While natural language understanding (NLU) is advancing rapidly, today's technology differs from human-like language understanding in fundamental ways, notably in its inferior efficiency, interpretability, and generalization. This work proposes an approach to representation and learning based on the tenets of embodied cognitive linguistics (ECL). According to ECL, natural language is inherently executable (like programming languages), driven by mental simulation and metaphoric mappings over hierarchical compositions of structures and schemata learned through embodied interaction. This position paper argues that the use of grounding by metaphoric inference and simulation will greatly benefit NLU systems, and proposes a system architecture along with a roadmap towards realizing this vision.",

author = "Ronen Tamari and Chen Shani and Tom Hope and Petruck, {Miriam R.L.} and Omri Abend and Dafna Shahaf",

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year = "2020",

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Tamari, R, Shani, C, Hope, T, Petruck, MRL, Abend, O & Shahaf, D 2020, Language (re)modelling: Towards embodied language understanding. in ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 6268-6281, 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Virtual, Online, United States, 5/07/20.

Language (re)modelling: Towards embodied language understanding. / Tamari, Ronen; Shani, Chen; Hope, Tom et al.
ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2020. p. 6268-6281 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Tamari R, Shani C, Hope T, Petruck MRL, Abend O , Shahaf D. Language (re)modelling: Towards embodied language understanding. In ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2020. p. 6268-6281. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

Language (re)modelling: Towards embodied language understanding

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