@inproceedings{benotti-blackburn-2021-recipe,
title = "A recipe for annotating grounded clarifications",
author = "Benotti, Luciana and
Blackburn, Patrick",
editor = "Toutanova, Kristina and
Rumshisky, Anna and
Zettlemoyer, Luke and
Hakkani-Tur, Dilek and
Beltagy, Iz and
Bethard, Steven and
Cotterell, Ryan and
Chakraborty, Tanmoy and
Zhou, Yichao",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2021.naacl-main.320/",
doi = "10.18653/v1/2021.naacl-main.320",
pages = "4065--4077",
abstract = "In order to interpret the communicative intents of an utterance, it needs to be grounded in something that is outside of language; that is, grounded in world modalities. In this paper, we argue that dialogue clarification mechanisms make explicit the process of interpreting the communicative intents of the speaker`s utterances by grounding them in the various modalities in which the dialogue is situated. This paper frames dialogue clarification mechanisms as an understudied research problem and a key missing piece in the giant jigsaw puzzle of natural language understanding. We discuss both the theoretical background and practical challenges posed by this problem and propose a recipe for obtaining grounding annotations. We conclude by highlighting ethical issues that need to be addressed in future work."
}
Markdown (Informal)
[A recipe for annotating grounded clarifications](https://preview.aclanthology.org/jlcl-multiple-ingestion/2021.naacl-main.320/) (Benotti & Blackburn, NAACL 2021)
ACL
- Luciana Benotti and Patrick Blackburn. 2021. A recipe for annotating grounded clarifications. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4065–4077, Online. Association for Computational Linguistics.