@inproceedings{shi-etal-2025-learning,
title = "Learning Language through Grounding",
author = "Shi, Freda and
Ma, Ziqiao and
Mao, Jiayuan and
Kordjamshidi, Parisa and
Chai, Joyce",
editor = "Lomeli, Maria and
Swayamdipta, Swabha and
Zhang, Rui",
booktitle = "Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)",
month = may,
year = "2025",
address = "Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.naacl-tutorial.6/",
doi = "10.18653/v1/2025.naacl-tutorial.6",
pages = "38--43",
ISBN = "979-8-89176-193-3",
abstract = "Grounding has been a long-standing concept in natural language processing (NLP) and computational linguistics (CL). This tutorial provides a historical overview and introduces recent advances in learning language through grounding, with a particular emphasis on the latter. We will begin by tracing the history of grounding and presenting a unified perspective on the term. In Parts II to IV, we will delve into recent progress in learning lexical semantics, syntax, and complex meanings through various forms of grounding. We will conclude by discussing future directions and open challenges, particularly those related to the growing trend of large language models and scaling."
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<abstract>Grounding has been a long-standing concept in natural language processing (NLP) and computational linguistics (CL). This tutorial provides a historical overview and introduces recent advances in learning language through grounding, with a particular emphasis on the latter. We will begin by tracing the history of grounding and presenting a unified perspective on the term. In Parts II to IV, we will delve into recent progress in learning lexical semantics, syntax, and complex meanings through various forms of grounding. We will conclude by discussing future directions and open challenges, particularly those related to the growing trend of large language models and scaling.</abstract>
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%0 Conference Proceedings
%T Learning Language through Grounding
%A Shi, Freda
%A Ma, Ziqiao
%A Mao, Jiayuan
%A Kordjamshidi, Parisa
%A Chai, Joyce
%Y Lomeli, Maria
%Y Swayamdipta, Swabha
%Y Zhang, Rui
%S Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)
%D 2025
%8 May
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-193-3
%F shi-etal-2025-learning
%X Grounding has been a long-standing concept in natural language processing (NLP) and computational linguistics (CL). This tutorial provides a historical overview and introduces recent advances in learning language through grounding, with a particular emphasis on the latter. We will begin by tracing the history of grounding and presenting a unified perspective on the term. In Parts II to IV, we will delve into recent progress in learning lexical semantics, syntax, and complex meanings through various forms of grounding. We will conclude by discussing future directions and open challenges, particularly those related to the growing trend of large language models and scaling.
%R 10.18653/v1/2025.naacl-tutorial.6
%U https://aclanthology.org/2025.naacl-tutorial.6/
%U https://doi.org/10.18653/v1/2025.naacl-tutorial.6
%P 38-43
Markdown (Informal)
[Learning Language through Grounding](https://aclanthology.org/2025.naacl-tutorial.6/) (Shi et al., NAACL 2025)
ACL
- Freda Shi, Ziqiao Ma, Jiayuan Mao, Parisa Kordjamshidi, and Joyce Chai. 2025. Learning Language through Grounding. In Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts), pages 38–43, Albuquerque, New Mexico. Association for Computational Linguistics.