35.2324, Calls: Writing Aids at the Crossroads of AI, Cognitive Science, and NLP

Tue Aug 27 01:05:04 UTC 2024

LINGUIST List: Vol-35-2324. Tue Aug 27 2024. ISSN: 1069 - 4875.

Subject: 35.2324, Calls: Writing Aids at the Crossroads of AI, Cognitive Science, and NLP

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Date: 23-Aug-2024
From: Michael Zock [michael.zock at lis-lab.fr]
Subject: Writing Aids at the Crossroads of AI, Cognitive Science, and NLP

Full Title: Writing Aids at the Crossroads of AI, Cognitive Science,
and NLP
Short Title: WR•AI•CogS•1

Date: 20-Jan-2025 - 20-Jan-2025
Location: Abu Dhabi, United Arab Emirates
Contact Person: Michael Zock
Meeting Email: michael.zock at lis-lab.fr
Web Site: https://sites.google.com/view/wraicogs1

Linguistic Field(s): Applied Linguistics; Cognitive Science;
Computational Linguistics; Psycholinguistics
Subject Language(s): English (eng)

Call Deadline: 25-Nov-2024

Meeting Description:

MOTIVATION

This workshop is co-located with COLING and dedicated to developing
writing aids grounded in human cognition (limitations of attention and
memory, typically observed habits, knowledge states, and information
needs). In other words, we focus on the cognitive and engineering
aspects of interactive writing. Our goal is not only to help people
acquire and improve their writing skills, but also to enhance their
productivity. By leveraging computer technology, we aim to enable them
to produce better texts in less time.

PARTICIPATION The workshop requires a physical presence. If any
authors are unable to attend and present in person, alternative
arrangements (such as remote presentations or video recordings) may be
considered. However, we cannot guarantee these options, as the COLING
organizers and local chairs have informed us that they will not
provide technical support or online access. Generally, work presented
in person will be given preference over work presented virtually.

WORKSHOP ORGANIZERS
 • Michael Zock (CNRS, LIS, Aix-Marseille University, Marseille,
France)
 • Kentaro Inui (Mohamed bin Zayed University of Artificial
Intelligence, UAE; Tohoku University, Japan; RIKEN, Japan)
 • Zheng Yuan (King's College London and the University of Cambridge,
UK)

FOR MORE DETAILS
 • longer version of cfp:
https://sites.google.com/view/wraicogs1/home/call-for-papers
 • background knowledge:
https://sites.google.com/view/wraicogs1/home/background-and-topics

Call for Papers:

TOPICS

We welcome contributions of all topics related to writing aids,
including but not limited to the following:

1. The Human Perspective: Cognitive scientific viewpoints, including
education, psycholinguistics, and neuroscience :
 - Support: How can AI tools support critical thinking and logical
reasoning in writing? How can writing assistants tailor feedback to
individual writers, considering their unique needs and styles? How can
we assess the quality and impact of AI-generated feedback on students'
writing (methods, metrics, etc.)?
 - Topical coherence: How can we help people organize their ideas into
a coherent whole? How do we model or operationalize the concept of a
topic, the paragraph's most central element? How do we detect possible
topics within our data? What are typical subtopics of a given topic,
and how do we identify them? How do we cluster content/ideas into
topics and give the clusters appropriate names?
 - Building software: How do we include humans in the development
cycle of writing aids? How and at what level can engineers use
insights from psycholinguistics and neuroscience? How can they model
the writing process while accounting for human and technological
factors?
 - Metacognition: What do people typically know about writing in
general and their own writing in particular? What are their problems
and needs? How do people manage to coordinate the different processes?
What should an authoring ecosystem look like (components)? What could
be automated, and what is best left for interactive processing?
 - Shared task: What kind of shared task would be meaningful while
being technically feasible?

2. The Engineering Side :
 -  LLMs: Where in the writing process could we use methods developed
in AI (e.g., LLMs) or computational linguistics (e.g., content
generation, content structuring, translation into language, revision)?
What are the potential benefits, dangers, and limitations of LLMs as
writing aids? How could revealing the 'knowledge' embedded within
black-box models improve their effectiveness, particularly in terms of
increasing the accuracy and relevance of the feedback they provide?
How can we address challenges related to data collection, privacy, and
ethical considerations in developing and deploying AI writing tools?
 - Tools and resources: What kind of tools and resources (e.g., Sketch
Engine, Rhetorical Structure Theory, knowledge graphs, and linked
data) could be useful?
 - Quality assessment: How can we check the veracity of facts,
relevance, cohesion, coherence, style, fluency, proper use of
pronouns, grammar, word choice, spelling, and punctuation?
 - Enhancement and evaluation: How do we enhance text analysis during
or after writing (e.g., quality of coherence, style) using corpus
linguistic tools? How do we evaluate or compare existing writing
assistants (e.g., adequacy, design features, ease of use, lessons
learned)?

SUBMISSION INSTRUCTIONS

Please submit your papers via the START/SoftConf submission portal
(https://softconf.com/coling2025/AAC-AI25/), following the COLING 2025
templates. Submitted versions must be anonymous and should not exceed
8 pages for long papers and 4 pages for short papers. References do
not count toward the page limit, and may be up to 4 pages long.
Supplementary material and appendices are also allowed. We also invite
papers discussing tools and applications (system demonstrations)
related to our workshop topics.

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