@inproceedings{bisk-etal-2020-experience,
    title = "Experience Grounds Language",
    author = "Bisk, Yonatan  and
      Holtzman, Ari  and
      Thomason, Jesse  and
      Andreas, Jacob  and
      Bengio, Yoshua  and
      Chai, Joyce  and
      Lapata, Mirella  and
      Lazaridou, Angeliki  and
      May, Jonathan  and
      Nisnevich, Aleksandr  and
      Pinto, Nicolas  and
      Turian, Joseph",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.emnlp-main.703",
    doi = "10.18653/v1/2020.emnlp-main.703",
    pages = "8718--8735",
    abstract = "Language understanding research is held back by a failure to relate language to the physical world it describes and to the social interactions it facilitates. Despite the incredible effectiveness of language processing models to tackle tasks after being trained on text alone, successful linguistic communication relies on a shared experience of the world. It is this shared experience that makes utterances meaningful. Natural language processing is a diverse field, and progress throughout its development has come from new representational theories, modeling techniques, data collection paradigms, and tasks. We posit that the present success of representation learning approaches trained on large, text-only corpora requires the parallel tradition of research on the broader physical and social context of language to address the deeper questions of communication.",
}