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uninplicit 2024 : UnImplicit workshop


When Mar 21, 2024 - Mar 22, 2024
Where Malta
Submission Deadline Dec 18, 2023
Notification Due Jan 20, 2024
Final Version Due Jan 30, 2023
Categories    NLP   computational linguistics   artificial intelligene

Call For Papers

​* 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


Paper submission:

* 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 and NAACL 2022.

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”).



We invite two types of submissions:

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.

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 ( 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

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