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        <title>Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions</title>
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        <namePart type="given">Jing</namePart>
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    <abstract>A long-term goal of AI research is to build intelligent agents that can communicate with humans in natural language, perceive the environment, and perform real-world tasks. Vision-and-Language Navigation (VLN) is a fundamental and interdisciplinary research topic towards this goal, and receives increasing attention from natural language processing, computer vision, robotics, and machine learning communities. In this paper, we review contemporary studies in the emerging field of VLN, covering tasks, evaluation metrics, methods, etc. Through structured analysis of current progress and challenges, we also highlight the limitations of current VLN and opportunities for future work. This paper serves as a thorough reference for the VLN research community.</abstract>
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%0 Conference Proceedings
%T Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
%A Gu, Jing
%A Stefani, Eliana
%A Wu, Qi
%A Thomason, Jesse
%A Wang, Xin
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F gu-etal-2022-vision
%X A long-term goal of AI research is to build intelligent agents that can communicate with humans in natural language, perceive the environment, and perform real-world tasks. Vision-and-Language Navigation (VLN) is a fundamental and interdisciplinary research topic towards this goal, and receives increasing attention from natural language processing, computer vision, robotics, and machine learning communities. In this paper, we review contemporary studies in the emerging field of VLN, covering tasks, evaluation metrics, methods, etc. Through structured analysis of current progress and challenges, we also highlight the limitations of current VLN and opportunities for future work. This paper serves as a thorough reference for the VLN research community.
%R 10.18653/v1/2022.acl-long.524
%U https://aclanthology.org/2022.acl-long.524
%U https://doi.org/10.18653/v1/2022.acl-long.524
%P 7606-7623

Markdown (Informal)

[Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions](https://aclanthology.org/2022.acl-long.524) (Gu et al., ACL 2022)

• Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions (Gu et al., ACL 2022)

ACL

• Jing Gu, Eliana Stefani, Qi Wu, Jesse Thomason, and Xin Wang. 2022. Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7606–7623, Dublin, Ireland. Association for Computational Linguistics.