2nd Call for Papers: Special Issue of Computational Linguistics on Language
Learning, Representation, and Processing in Humans and MachinesGuest Editors
Marianna Apidianaki (University of Pennsylvania)
Abdellah Fourtassi (Aix Marseille University)
Sebastian Padó (University of Stuttgart)
NEW: Abstract submission deadline: November 10
Paper submission deadline: December 10
Large language models (LLMs) acquire rich world knowledge from the data
they are exposed to during training, in a way that appears to parallel how
children learn from the language they hear around them. Indeed, since the
introduction of these powerful models, there has been a general feeling
among researchers in both NLP and cognitive science that a systematic
understanding of how these models work and how they use the knowledge they
encode, would shed light on the way humans acquire, represent, and process
this same knowledge (and vice versa).
Yet, despite the similarities, there are important differences between
machines and humans that have prevented a direct translation of insights
from the analysis of LLMs to a deeper understanding of human learning.
Chief among these differences is that the size of data required to train
LLMs far exceeds -- by several orders of magnitude -- the data children
need to acquire sophisticated conceptual structures and meanings. Besides,
the engineering-driven architectures of LLMs do not appear to have obvious
equivalents in children's cognitive apparatus, at least as studied by
standard methods in experimental psychology. Finally, children acquire
world knowledge not only via exposure to language but also via sensory
experience and social interaction.
This edited volume aims to create a forum of exchange and debate between
linguists, cognitive scientists and experts in deep learning, NLP and
computational linguistics, on the broad topic of learning in humans and
machines. Experts from these communities can contribute with empirical and
theoretical papers that advance our understanding of this question.
Submissions might address the acquisition of different types of linguistic
and world knowledge. Additionally, we invite contributions that
characterize and address challenges related to the mismatch between humans
and LLMs in terms of the size and nature of input data, and the involved
learning and processing mechanisms.
Topics include, but are not limited to:
*** NEW *** Authors are strongly encouraged to submit a short (max 1 page)
abstract of their paper by November 10. Abstracts will be sent to the Guest
Editors (e-mails below). Minor modifications to the abstract will still be
possible until final submission.
Papers should be formatted according to the Computational Linguistics style
We accept both long and short papers. Long papers are between 25 and 40
journal pages in length; short papers are between 15 and 25 pages in length.
Papers for this special issue will be submitted through the CL electronic
submission system, just like regular papers:
Authors of special issue papers will need to select “Special Issue on LLRP”
under the Journal Section heading in the CL submission system. Please note
that papers submitted to a special issue undergo the same reviewing process
as regular papers.
Deadline for abstract submission : November 10, 2023
Deadline for paper submissions : December 10, 2023
Notification after 1st round of reviewing : February 10, 2024
Revised versions of the papers : April 30, 2024
Final decisions : June 10, 2024
Final version of the papers : July 1, 2024Inquiries
All inquiries should be directed to the guest editors of this special issue.
Computational Linguistics is the longest-running flagship journal of the
Association for Computational Linguistics. The journal has a high impact
factor: 9.3 in 2022 and 7.778 in 2021. Average time to first decision of
regular papers and full survey papers (excluding desk rejects) is 34 days
for the period January to May 2023, and 47 days for the period January to
Department of Computer Science
Institute of Language, Communication, and the Brain
Aix-Marseille University, France