Experience Grounds Language. Bisk, Y., Holtzman, A., Thomason, J., Andreas, J., Bengio, Y., Chai, J., Lapata, M., Lazaridou, A., May, J., Nisnevich, A., Pinto, N., & Turian, J. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 8718–8735, Online, November, 2020. Association for Computational Linguistics. ![Experience Grounds Language [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex 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.
@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://www.aclweb.org/anthology/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.",
}
Downloads: 0
{"_id":"5iZNb8pzPcnzDdfFd","bibbaseid":"bisk-holtzman-thomason-andreas-bengio-chai-lapata-lazaridou-etal-experiencegroundslanguage-2020","author_short":["Bisk, Y.","Holtzman, A.","Thomason, J.","Andreas, J.","Bengio, Y.","Chai, J.","Lapata, M.","Lazaridou, A.","May, J.","Nisnevich, A.","Pinto, N.","Turian, J."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Experience Grounds Language","author":[{"propositions":[],"lastnames":["Bisk"],"firstnames":["Yonatan"],"suffixes":[]},{"propositions":[],"lastnames":["Holtzman"],"firstnames":["Ari"],"suffixes":[]},{"propositions":[],"lastnames":["Thomason"],"firstnames":["Jesse"],"suffixes":[]},{"propositions":[],"lastnames":["Andreas"],"firstnames":["Jacob"],"suffixes":[]},{"propositions":[],"lastnames":["Bengio"],"firstnames":["Yoshua"],"suffixes":[]},{"propositions":[],"lastnames":["Chai"],"firstnames":["Joyce"],"suffixes":[]},{"propositions":[],"lastnames":["Lapata"],"firstnames":["Mirella"],"suffixes":[]},{"propositions":[],"lastnames":["Lazaridou"],"firstnames":["Angeliki"],"suffixes":[]},{"propositions":[],"lastnames":["May"],"firstnames":["Jonathan"],"suffixes":[]},{"propositions":[],"lastnames":["Nisnevich"],"firstnames":["Aleksandr"],"suffixes":[]},{"propositions":[],"lastnames":["Pinto"],"firstnames":["Nicolas"],"suffixes":[]},{"propositions":[],"lastnames":["Turian"],"firstnames":["Joseph"],"suffixes":[]}],"booktitle":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","month":"November","year":"2020","address":"Online","publisher":"Association for Computational Linguistics","url":"https://www.aclweb.org/anthology/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.","bibtex":"@inproceedings{bisk-etal-2020-experience,\n title = \"Experience Grounds Language\",\n author = \"Bisk, Yonatan and\n Holtzman, Ari and\n Thomason, Jesse and\n Andreas, Jacob and\n Bengio, Yoshua and\n Chai, Joyce and\n Lapata, Mirella and\n Lazaridou, Angeliki and\n May, Jonathan and\n Nisnevich, Aleksandr and\n Pinto, Nicolas and\n Turian, Joseph\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)\",\n month = nov,\n year = \"2020\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.emnlp-main.703\",\n pages = \"8718--8735\",\n 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.\",\n}\n\n","author_short":["Bisk, Y.","Holtzman, A.","Thomason, J.","Andreas, J.","Bengio, Y.","Chai, J.","Lapata, M.","Lazaridou, A.","May, J.","Nisnevich, A.","Pinto, N.","Turian, J."],"key":"bisk-etal-2020-experience","id":"bisk-etal-2020-experience","bibbaseid":"bisk-holtzman-thomason-andreas-bengio-chai-lapata-lazaridou-etal-experiencegroundslanguage-2020","role":"author","urls":{"Paper":"https://www.aclweb.org/anthology/2020.emnlp-main.703"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://jonmay.github.io/webpage/cutelabname/cutelabname.bib","dataSources":["ZdhKtP2cSp3Aki2ge","X5WBAKQabka5TW5z7","hbZSwot2msWk92m5B","fcWjcoAgajPvXWcp7","rQFxZQs78YQJ9m34s","zNyGQSwy66ruYENcK","aXmRAq63YsH7a3ufx","GvHfaAWP6AfN6oLQE","j3Qzx9HAAC6WtJDHS","5eM3sAccSEpjSDHHQ"],"keywords":[],"search_terms":["experience","grounds","language","bisk","holtzman","thomason","andreas","bengio","chai","lapata","lazaridou","may","nisnevich","pinto","turian"],"title":"Experience Grounds Language","year":2020}