*TL;DR *Submit a 2-page abstract on your ongoing / recently published
research on conversational agents and structured knowledge to the CASK
workshop https://cask-workshop.github.io/ by 9/10 (non-archival).
Website : https://cask-workshop.github.io/
Overview
Conversational agents are increasingly becoming part of our day-to-day life
on the phone, in the car and in the living room, performing tasks on our
behalf which often require interfacing with various forms of structured
knowledge. The goal of this workshop is to shed light and encourage
interdisciplinary research on some of the open problems situated on the
interface of dialog systems and structured knowledge (e.g., knowledge
bases, tables etc.), which is critical to the development of digital
assistants like Google Home, Alexa and Siri. Our hope is to help bridge the
gap between academic and industry research in this area. Open questions
include, but are not limited to:
- How to enable more natural conversations about structured objects and
their properties?
- How to model the structured context of a conversation?
- Can we develop dialog systems that can inter-operate across arbitrary
knowledge base schemas?
- How to reason about, model, and make updates to an evolving world /
knowledge base in a conversational setting?
- How to characterize and respond to ambiguous references to entities?
- How to address acoustic ambiguity in references to KB items in spoken
queries?
- How to segment user speech into meaningful utterances?
- How do Conversational Agents interact with a Situated KB (e.g., user
devices)?
- How to use knowledge encoded in Pre-trained LMs in Conversational
Agents?
Make sure to also check out the closely-related AKBC workshop on personal
knowledge graphs here https://pkgs.ws/.
Registration
Workshop registration is included in AKBC 2021 registration
https://www.akbc.ws/2021/, along with access to the main conference.
Call for Extended Abstracts
We invite the submission of extended abstracts to CASK, describing (i) new
unpublished or (ii) relevant recently published research in the field. The
workshop will not consist of archival proceedings, and the accepted
abstracts will be presented as oral (lightning talks) during the workshop
and listed on the website.
To submit an abstract to CASK, please send an email to
cask2021@googlegroups.com with the subject line “[CASK ABSTRACT]:
here-goes-your-title”. The email should include the following:
- Extended abstracts in PDF format (2 pages max, not including
references), as an attachment. Please make sure to include the complete
author list, along with their affiliation(s).
- We encourage the authors to cite all the relevant and related
work(s) in the abstract submission. This won’t count towards the 2 page
limit.
- Name and email of the author who would be presenting the work as a
lightning talk. We will reach out with the details of the lightning talk
post acceptance.
- (Optional) Full paper, if the authors have a preprint ready.
Submitted abstracts will undergo a lightweight review process to make sure
they are relevant to the workshop, but no official reviews will be sent to
authors. All accepted abstracts will be made available prior to the
workshop. We also would make the lightning talks accessible post workshop
proceedings.
If you require further assistance in participating in the workshop, please
let us know and we’ll be in touch to discuss how we can best address your
needs.
Important Dates
- Abstract submission deadline: Sep 10
- Notification of acceptance: Sep 17
- Workshop: Oct 7
All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).
Invited Speakers
Dilek-hakkani Tur https://www.linkedin.com/in/dilek-hakkani-tur-9517543/,
Amazon
Milica Gašić
https://www.cs.hhu.de/en/research-groups/dialog-systems-and-machine-learning/our-team/team/cv-gasic,
Heinrich-Heine-Universität Düsseldorf
Vivian Violet Chen https://www.csie.ntu.edu.tw/~yvchen/, National Taiwan
University
Schedule
CASK workshop will be held virtually on October 7th with the following with
the following schedule (all times in Pacific Time, UTC-7).
Organizing Committee
*TL;DR *Submit a 2-page abstract on your ongoing / recently published
research on conversational agents and structured knowledge to the CASK
workshop <https://cask-workshop.github.io/> by 9/10 (non-archival).
*Website* : https://cask-workshop.github.io/
Overview
Conversational agents are increasingly becoming part of our day-to-day life
on the phone, in the car and in the living room, performing tasks on our
behalf which often require interfacing with various forms of structured
knowledge. The goal of this workshop is to shed light and encourage
interdisciplinary research on some of the open problems situated on the
interface of dialog systems and structured knowledge (e.g., knowledge
bases, tables etc.), which is critical to the development of digital
assistants like Google Home, Alexa and Siri. Our hope is to help bridge the
gap between academic and industry research in this area. Open questions
include, but are not limited to:
- How to enable more natural conversations about structured objects and
their properties?
- How to model the structured context of a conversation?
- Can we develop dialog systems that can inter-operate across arbitrary
knowledge base schemas?
- How to reason about, model, and make updates to an evolving world /
knowledge base in a conversational setting?
- How to characterize and respond to ambiguous references to entities?
- How to address acoustic ambiguity in references to KB items in spoken
queries?
- How to segment user speech into meaningful utterances?
- How do Conversational Agents interact with a Situated KB (e.g., user
devices)?
- How to use knowledge encoded in Pre-trained LMs in Conversational
Agents?
Make sure to also check out the closely-related AKBC workshop on personal
knowledge graphs here <https://pkgs.ws/>.
Registration
Workshop registration is included in AKBC 2021 registration
<https://www.akbc.ws/2021/>, along with access to the main conference.
Call for Extended Abstracts
We invite the submission of extended abstracts to CASK, describing (i) new
unpublished or (ii) relevant recently published research in the field. The
workshop will not consist of archival proceedings, and the accepted
abstracts will be presented as oral (lightning talks) during the workshop
and listed on the website.
To submit an abstract to CASK, please send an email to
cask2021@googlegroups.com with the subject line “[CASK ABSTRACT]:
here-goes-your-title”. The email should include the following:
- Extended abstracts in PDF format (2 pages max, not including
references), as an attachment. Please make sure to include the complete
author list, along with their affiliation(s).
- We encourage the authors to cite all the relevant and related
work(s) in the abstract submission. This won’t count towards the 2 page
limit.
- Name and email of the author who would be presenting the work as a
lightning talk. We will reach out with the details of the lightning talk
post acceptance.
- (Optional) Full paper, if the authors have a preprint ready.
Submitted abstracts will undergo a lightweight review process to make sure
they are relevant to the workshop, but no official reviews will be sent to
authors. All accepted abstracts will be made available prior to the
workshop. We also would make the lightning talks accessible post workshop
proceedings.
If you require further assistance in participating in the workshop, please
let us know and we’ll be in touch to discuss how we can best address your
needs.
Important Dates
- Abstract submission deadline: Sep 10
- Notification of acceptance: Sep 17
- Workshop: Oct 7
All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).
Invited Speakers
Dilek-hakkani Tur <https://www.linkedin.com/in/dilek-hakkani-tur-9517543/>,
Amazon
Milica Gašić
<https://www.cs.hhu.de/en/research-groups/dialog-systems-and-machine-learning/our-team/team/cv-gasic>,
Heinrich-Heine-Universität Düsseldorf
Vivian Violet Chen <https://www.csie.ntu.edu.tw/~yvchen/>, National Taiwan
University
Schedule
CASK workshop will be held virtually on October 7th with the following with
the following schedule (all times in Pacific Time, UTC-7).
- 8:00-8:10 - Opening remarks
- 8:10-8:45 - Lightning talks
- 8:45-9:30 - Invited talk: Milica Gašić
<https://www.cs.hhu.de/en/research-groups/dialog-systems-and-machine-learning/our-team/team/cv-gasic>,
Heinrich-Heine-Universität Düsseldorf
- 9:30-10:00 - Break
- 10:00-10:30 - Lightning talks
- 10:30-11:15 - Invited talk: Vivian Violet Chen
<https://www.csie.ntu.edu.tw/~yvchen/>, National Taiwan University
- 11:15-11:30 - Break
- 11:30-12:15 - Invited talk: Dilek-hakkani Tur
<https://www.linkedin.com/in/dilek-hakkani-tur-9517543/>, Amazon
- 12:15-1:30 - Panel discussion
Organizing Committee
- Aditya Gupta
<https://scholar.google.com/citations?hl=en&user=HW7IZ6sAAAAJ&view_op=list_works&sortby=pubdate>,
Google
- Emily Pitler <https://research.google/people/EmilyPitler/>, Google
- Mihir Kale <https://www.semanticscholar.org/author/Mihir-Kale/26688118>,
Google
- Rahul Goel <https://www.linkedin.com/in/rgoel39/>, Google
- Shachi Paul <https://www.linkedin.com/in/shachipaul/>, Google
- Shyam Upadhyay <http://shyamupa.com/>, Google
- Waleed Ammar <https://wammar.github.io/>, Google