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Dagstuhl seminar 19461 on conversational search: seminar goals and working group outcomes

Published: 19 February 2021 Publication History

Abstract

In the week of November 10--15, 2019, 44 researchers from the fields of information retrieval and Web search, natural language processing, human computer interaction, and dialogue systems met for the Dagstuhl Seminar 19461 "Conversational Search" to share the latest development in the area of conversational search and discuss its research agenda and future directions. The clear signal from the seminar is that research opportunities to advance conversational search are available to many areas and that collaboration in an interdisciplinary community is essential to achieve the goals. This report overviews the program and selected findings of the working groups.

References

[1]
Mikhail Burtsev, Aleksandr Chuklin, Julia Kiseleva, and Alexey Borisov. Search-Oriented Conversational AI (SCAI). In Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Hui Fang, and Emine Yilmaz, editors, Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1--4, 2017, pages 333--334. ACM, 2017.
[2]
J. Shane Culpepper, Fernando Diaz, and Mark D. Smucker. Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018). SIGIR Forum, 52(1):34--90, 2018.
[3]
Filip Radlinski and Nick Craswell. A Theoretical Framework for Conversational Search. In Ragnar Nordlie, Nils Pharo, Luanne Freund, Birger Larsen, and Dan Russel, editors, Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, CHIIR 2017, Oslo, Norway, March 7--11, 2017, pages 117--126. ACM, 2017.
[4]
Damiano Spina, Jaime Arguello, Hideo Joho, Julia Kiseleva, and Filip Radlinski. CAIR'18: Second International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2018. SIGIR Forum, 52(2):111--116, 2018.

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  • (2024)Analysing Utterances in LLM-Based User Simulation for Conversational SearchACM Transactions on Intelligent Systems and Technology10.1145/365004115:3(1-22)Online publication date: 5-Mar-2024
  • (2024)OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking ExperienceACM Transactions on the Web10.1145/362338118:4(1-27)Online publication date: 8-Oct-2024
  • (2024)An In-depth Investigation of User Response Simulation for Conversational SearchProceedings of the ACM Web Conference 202410.1145/3589334.3645447(1407-1418)Online publication date: 13-May-2024
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Published In

cover image ACM SIGIR Forum
ACM SIGIR Forum  Volume 54, Issue 1
June 2020
148 pages
ISSN:0163-5840
DOI:10.1145/3451964
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 February 2021
Published in SIGIR Volume 54, Issue 1

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Cited By

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  • (2024)Analysing Utterances in LLM-Based User Simulation for Conversational SearchACM Transactions on Intelligent Systems and Technology10.1145/365004115:3(1-22)Online publication date: 5-Mar-2024
  • (2024)OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking ExperienceACM Transactions on the Web10.1145/362338118:4(1-27)Online publication date: 8-Oct-2024
  • (2024)An In-depth Investigation of User Response Simulation for Conversational SearchProceedings of the ACM Web Conference 202410.1145/3589334.3645447(1407-1418)Online publication date: 13-May-2024
  • (2024)Trilingual conversational intent decoding for response retrievalKnowledge and Information Systems10.1007/s10115-023-01972-w66:1(535-556)Online publication date: 1-Jan-2024
  • (2023)Extractive Explanations for Interpretable Text RankingACM Transactions on Information Systems10.1145/357692441:4(1-31)Online publication date: 23-Mar-2023
  • (2023)Guiding Oral Conversations: How to Nudge Users Towards Asking Questions?Proceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578291(34-42)Online publication date: 19-Mar-2023
  • (2023)Zero-shot Clarifying Question Generation for Conversational SearchProceedings of the ACM Web Conference 202310.1145/3543507.3583420(3288-3298)Online publication date: 30-Apr-2023
  • (2023)Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and BeyondProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591683(632-642)Online publication date: 19-Jul-2023
  • (2022)The Effects of System Initiative during Conversational Collaborative SearchProceedings of the ACM on Human-Computer Interaction10.1145/35129136:CSCW1(1-30)Online publication date: 7-Apr-2022
  • (2022)SCC - A Test Collection for Search in Chat ConversationsProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557692(4429-4433)Online publication date: 17-Oct-2022
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