33.2013, Calls: Computational Linguistics/Korea, South

The LINGUIST List linguist at listserv.linguistlist.org
Wed Jun 15 23:54:28 UTC 2022


LINGUIST List: Vol-33-2013. Wed Jun 15 2022. ISSN: 1069 - 4875.

Subject: 33.2013, Calls: Computational Linguistics/Korea, South

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Date: Wed, 15 Jun 2022 23:54:08
From: Simeng Han [simeng.han at yale.edu]
Subject: Automatic Summarization for Creative Writing at The 29th Conference on Computational Linguistics (COLING 2022)

 
Full Title: Automatic Summarization for Creative Writing at The 29th Conference on Computational Linguistics (COLING 2022) 

Date: 16-Oct-2022 - 16-Oct-2022
Location: Gyeongju, Korea, South 
Contact Person: Simeng Han
Meeting Email: simeng.han at yale.edu
Web Site: https://creativesumm.github.io/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 11-Jul-2022 

Meeting Description:

This workshop aims to bring together researchers and promote exciting work in
the domain of creative writing summarization, with the hope of contributing to
the next generation of summarization systems.


Call for Papers:

This workshop aims to bring together researchers and promote exciting work in
the domain of creative writing summarization, with the hope of contributing to
the next generation of summarization systems. We welcome submissions broadly
related, but not limited to:

- Abstractive and extractive summarization:
- Multiple text genres (novels, biographies, plays, movie scripts, TV scripts,
and other creative genres)
- Multimodal Input: Information integration and aggregation across multiple
modalities (text, speech, image, video)
- Multimodal Output: Multimodal summarization including text, speech, image
and video, visualization + interactive exploration, generation of tables,
charts or social networks (e.g., tables of characters)
- Personalized summarization such as tailoring summaries to user queries or
interests, different user backgrounds or experience, or to different devices
- Summarization using external context (e.g., influence of critical, literary
or user reviews, influence of the full -  TV series on summarization of one
episode, or of the full novel on summarization of a chapter).
- Multilingual summarization: summarization in one language of creative
documents in another.
- Semantic aspects of summarization (e.g. semantic representation, inference,
validity)
- Summaries that highlight interpretations of the input
- Development of new algorithms, new datasets and annotations and new
evaluation metrics
- Cognitive or psycholinguistic aspects of summarization and visualization
(e.g. perceived readability, usability, etc)

Important Dates:

All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).
Anonymity period begins: May 11, 2022
Workshop paper submission Deadline: Jul 11, 2022
Shared task paper submission: August 1st, 2022
Acceptance Notification: August 22, 2022
Camera-Ready Submission: September 5, 2022
Workshop Date: Oct 16th or 17th (TBD)
All deadlines are 11:59 PM UTC -12h (Anywhere on Earth).

Submission Guidelines:

You are invited to submit your articles through a link to be announced. All
submitted papers must be anonymous for double-blind review. The content of the
paper should not be longer than 8 pages for long papers and 4 pages for short
papers, strictly following the COLING 2022 style template. Supplementary
material and appendices (either as separate files or appended after the main
submission) are allowed. We encourage code link submissions for the
camera-ready version.

Double submissions are allowed as long as the authors make a decision before
camera-ready. We will not consider any paper that overlaps significantly in
content or results with papers that will be (or have been) published
elsewhere. Authors submitting more than one paper to this workshop must ensure
that their submissions do not overlap significantly (>25%) with each other in
content or results. Authors can submit up to 100 MB of supplementary materials
separately. Authors are highly encouraged to submit their codes for
reproducibility purposes.

Organizing Committee:
Kathleen Mckeown, Columbia University
Divyansh Agarwal, Salesforce Research
Alexander Fabbri, Salesforce Research
Simeng Han, Yale University
Wojciech Kryściński, Salesforce Research
Faisal Ladhak, Columbia University
Bryan Li, University of Pennsylvania
Ramesh Nallapati, Amazon
Dragomir Radev, Yale University
Sam Wiseman, Duke University




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