​* Apologies for cross-posting *

We are happy to announce the third UnImplicit workshop, which will be 
co-located with EACL 2024.


Workshop: March 21 or 22, 2024 (TBD on which of the two days)

EACL Conference: March 17-22, 2024

Website: https://unimplicit2024.github.io/

Paper submission: 
https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UnImplicit

* Paper submission deadline: December 18, 2023 *

* Paper submission deadline for papers with ARR Reviews: January 17, 2024 *


Real language is underspecified, vague, and ambiguous. Indeed, past work (Zipf, 
1949; Piantadosi, 2012) has suggested that ambiguity may be an inextricable 
feature of natural language, resulting from competing communicative pressures. 
Resolving the meaning of language is a never-ending process of making 
inferences based on implicit knowledge. For example, we know that ``the girl 
saw the man with the telescope'' is ambiguous and could refer to two 
situations, while ``the girl saw the man with the hamburger'' is not, or that 
``near'' in ``the house near the airport'' and ``the ant near the crumb'' does 
not refer to the same distance. Being able to capture this kind of knowledge is 
central to building systems with a human-like understanding of language, as 
well as providing a full account of natural language itself.


We welcome submissions related to, but not limited to, the following topics:

  *   Creating corpora or new annotations for underspecified, vague, or 
ambiguous language

  *   Studies of annotator disagreement

  *   Methods of resolving underspecification, vagueness, or ambiguity

  *   Studies of how multimodal settings interact with underspecification in 
language

  *   Ambiguities in non-linguistic domains, like images or videos

  *   Perspectives on the role of vagueness and ambiguity in NLP

Similar to the first two editions, we would accept theoretical and practical 
contributions (long, short, and non-archival) on all aspects related to the 
workshop topic.

If you are interested, you can check out the last two UnImplicit workshops held 
at ACL 2021<https://unimplicit.github.io/#> and NAACL 
2022<https://unimplicit2022.github.io>.



Important Dates

=============

Dec. 18, 2023: Workshop paper deadline (OpenReview)

Jan. 17, 2024: Deadline to commit papers with ARR Reviews (OpenReview)

Jan. 20, 2024: Notification of Acceptance

Jan. 30, 2024: Camera-ready papers due

Mar. 21-22, 2024: Workshop Dates (TBD on which of the two days)


All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).



Submissions

==========

We invite two types of submissions:

  1.  Archival: long (up to 8 pages) or short (up to 4 pages) papers, with 
unlimited references. These papers should report on complete, original, and 
unpublished research and cannot be 'under submission' elsewhere. If accepted, 
archival papers will appear in the workshop proceedings.

  2.  Non-archival: Extended abstracts (up to 2 pages) or copy of 
submission/publication, which can take two forms: Works in progress, that are 
not yet mature enough for a full submission. Or already published work, or work 
currently under submission elsewhere, which can be submitted in the form of the 
original abstract and a copy of the submission/publication.


We are not enforcing any anonymity period. The workshop will run its review 
process, and papers can be submitted directly to OpenReview 
(https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UnImplicit) on 
Dec. 18th, 2023. It is also possible to submit a paper accompanied by reviews 
from the ACL Rolling Review system, or a paper that has been rejected from 
EACL, or a Findings paper looking for a presentation slot, by Jan. 17th, 2024 
(please use the following form for this type of submission: ).


Both papers and extended abstracts must follow the EACL 2024 format.

Accepted papers and extended abstracts must be presented at the workshop and at 
least one author must be registered for the workshop.



Workshop organizers

==========

Valentina Pyatkin, AI2 and University of Washington

Elias Stengel-Eskin, UNC Chapel Hill

Alisa Liu, University of Washington

Sandro Pezzelle, University of Amsterdam

Daniel Fried, Carnegie Mellon University


Sandro -- on behalf of the organizing team

---
Sandro Pezzelle
ILLC - Institute for Logic, Language & Computation
University of Amsterdam
sandropezzelle.github.io<http://sandropezzelle.github.io/>
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