What Do You Mean ‘Why?’: Resolving Sluices in Conversation

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

What Do You Mean ‘Why?’ : Resolving Sluices in Conversation. / Hansen, Victor Petrén Bach; Søgaard, Anders.

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, 2020. p. 7887-7894.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Hansen, VPB & Søgaard, A 2020, What Do You Mean ‘Why?’: Resolving Sluices in Conversation. in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, pp. 7887-7894., Thirty-Forth AAAI Conference on Artificial Intelligence, New York, United States, 07/02/2020. https://doi.org/10.1609/aaai.v34i05.6295

APA

Hansen, V. P. B., & Søgaard, A. (2020). What Do You Mean ‘Why?’: Resolving Sluices in Conversation. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5] (pp. 7887-7894.). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6295

Vancouver

Hansen VPB, Søgaard A. What Do You Mean ‘Why?’: Resolving Sluices in Conversation. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press. 2020. p. 7887-7894. https://doi.org/10.1609/aaai.v34i05.6295

Author

Hansen, Victor Petrén Bach ; Søgaard, Anders. / What Do You Mean ‘Why?’ : Resolving Sluices in Conversation. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, 2020. pp. 7887-7894.

Bibtex

@inproceedings{9ad2b405cc3245b49d8ad05f05566619,
title = "What Do You Mean {\textquoteleft}Why?{\textquoteright}: Resolving Sluices in Conversation",
abstract = "In conversation, we often ask one-word questions such as {\textquoteleft}Why?{\textquoteright} or {\textquoteleft}Who?{\textquoteright}. Such questions are typically easy for humans to answer, but can be hard for computers, because their resolution requires retrieving both the right semantic frames and the right arguments from context. This paper introduces the novel ellipsis resolution task of resolving such one-word questions, referred to as sluices in linguistics. We present a crowd-sourced dataset containing annotations of sluices from over 4,000 dialogues collected from conversational QA datasets, as well as a series of strong baseline architectures.",
author = "Hansen, {Victor Petr{\'e}n Bach} and Anders S{\o}gaard",
year = "2020",
doi = "10.1609/aaai.v34i05.6295",
language = "English",
pages = "7887--7894.",
booktitle = "Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020)",
publisher = "AAAI Press",
note = "Thirty-Forth AAAI Conference on Artificial Intelligence : AAAI 2020 ; Conference date: 07-02-2020 Through 12-02-2020",
url = "https://aaai.org/Conferences/AAAI-20/",

}

RIS

TY - GEN

T1 - What Do You Mean ‘Why?’

T2 - Thirty-Forth AAAI Conference on Artificial Intelligence

AU - Hansen, Victor Petrén Bach

AU - Søgaard, Anders

PY - 2020

Y1 - 2020

N2 - In conversation, we often ask one-word questions such as ‘Why?’ or ‘Who?’. Such questions are typically easy for humans to answer, but can be hard for computers, because their resolution requires retrieving both the right semantic frames and the right arguments from context. This paper introduces the novel ellipsis resolution task of resolving such one-word questions, referred to as sluices in linguistics. We present a crowd-sourced dataset containing annotations of sluices from over 4,000 dialogues collected from conversational QA datasets, as well as a series of strong baseline architectures.

AB - In conversation, we often ask one-word questions such as ‘Why?’ or ‘Who?’. Such questions are typically easy for humans to answer, but can be hard for computers, because their resolution requires retrieving both the right semantic frames and the right arguments from context. This paper introduces the novel ellipsis resolution task of resolving such one-word questions, referred to as sluices in linguistics. We present a crowd-sourced dataset containing annotations of sluices from over 4,000 dialogues collected from conversational QA datasets, as well as a series of strong baseline architectures.

U2 - 10.1609/aaai.v34i05.6295

DO - 10.1609/aaai.v34i05.6295

M3 - Article in proceedings

SP - 7887-7894.

BT - Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020)

PB - AAAI Press

Y2 - 7 February 2020 through 12 February 2020

ER -

ID: 258374203