34.1078, Calls: Fourth International Workshop on Designing Meaning Representation

[The LINGUIST List]

LINGUIST List: Vol-34-1078. Fri Mar 31 2023. ISSN: 1069 - 4875.

Subject: 34.1078, Calls: Fourth International Workshop on Designing Meaning Representation

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Date: 
From: Kristine Stenzel [Kristine.stenzel at colorado.edu]
Subject: Fourth International Workshop on Designing Meaning Representation


Full Title: Fourth International Workshop on Designing Meaning
Representation
Short Title: DMR 2023

Date: 20-Jun-2023 - 20-Jun-2023
Location: Université de Lorraine, Nancy, France
Contact Person: Kristine Stenzel
Meeting Email: Kristine.stenzel at colorado.edu
Web Site: http://dmr2023.github.io

Linguistic Field(s): Computational Linguistics; Semantics

Call Deadline: 10-Apr-2023

Meeting Description:

While deep learning methods have led to many breakthroughs in
practical natural language applications, e.g. Machine Translation,
Machine Reading, Question Answering, Recognizing Textual Entailment,
many NLP researchers still feel there is a long way to go before we
can develop systems that can actually “understand” human language and
explain the decisions they make. Indeed, “understanding” natural
language entails many human-like capabilities, including the ability
to track entities in a text and understand the relations between them,
track events and their participants, understand how events unfold in
time, and distinguish between events that have happened and those that
are planned, intended, uncertain, or did not happen at all. A critical
step in achieving natural language understanding is to design meaning
representations for text that have the necessary meaning “ingredients”
to help us achieve these capabilities. Such meaning representations
can also potentially be used to evaluate the compositional
generalization capacity of deep learning models.

A growing body of recent research is devoted to the design,
annotation, and parsing of meaning representations. The meaning
representations used for semantic parsing research have been developed
with different linguistic perspectives and practical goals in mind and
have different formal properties. Formal meaning representation
frameworks such as Minimal Recursion Semantics (MRS) and Discourse
Representation Theory (as exemplified in the Parallel Meaning Bank)
aim to support logical inference in reasoning-based AI systems and are
therefore easily translatable into first-order logic, requiring proper
representation of semantic components such as quantification,
negation, tense, and modality. Other frameworks such as Abstract
Meaning Representation (AMR), Tecto-grammatical Representation (TR) in
Prague Dependency Treebanks and the Universal Conceptual Cognitive
Annotation (UCCA), emphasize the representation of core
predicate-argument structure, lexical semantic information such as
semantic roles and word senses, or named entities and relations. A
more recent effort is developing a Uniform Meaning Representation
(UMR) that is based on AMR but extends it to cross-linguistic settings
and enhances it to represent document-level semantic content. The
automatic parsing of natural language text into these meaning
representations and the subsequent generation of natural language text
from them re also very active areas of research, and a wide range of
technical approaches and learning methods address these problems.

2nd Call for Papers:

Deadline Extended to 10 April, 2023.

This workshop will bring together researchers who are producers and
consumers of meaning representations, and through their interaction
develop a deeper understanding of the key elements of meaning
representations that are the most valuable to the NLP community. The
workshop will also provide an opportunity for meaning representation
researchers to critically examine existing frameworks with the goal of
using their findings to inform the design of next-generation meaning
representations. A third goal of the workshop is to explore
opportunities and identify challenges in the design and use of meaning
representations in multilingual settings. A final goal of the workshop
is to understand the relationship between distributed meaning
representations trained on large data sets using network models, and
the symbolic meaning representations that are carefully designed and
annotated by NLP researchers and gain a deeper understanding of areas
where each type of meaning representation is the most effective.

=== SUBMISSION INFORMATION ===

Submissions should report original and unpublished research on topics
of interest to the workshop. Accepted papers are expected to be
presented at the workshop and will be published in the workshop
proceedings on the ACL Anthology. They should emphasize obtained
results rather than intended work and should clearly indicate the
state of completion of the reported results. A paper accepted for
presentation at the workshop must not be or have been presented at any
other meeting with publicly available proceedings.
Submission is electronic, using the Softconf START conference
management system.
Link to the DMR submission site:
https://softconf.com/iwcs2023/dmr2023/
Submissions must adhere to the two-column format of ACL venues. Please
use our specific style-files or the Overleaf template taken from ACL
2021:
https://www.overleaf.com/latex/templates/instructions-for-iwcs-2021-pr
oceedings/fpnsyxqqpfbw

Initial submissions should be fully anonymous to ensure double-blind
reviewing. Long papers must not exceed eight (8) pages of content.
Short papers and demonstration papers must not exceed four (4) pages
of content. If a paper is accepted, it will be given an additional
page to address reviewers’ comments in the final version. References
and appendices do not count against these limits.

Reviewing of papers will be double-blind. Therefore, the paper must
not include the authors’ names and affiliations or self-references
that reveal any author’s identity–e.g., “We previously showed (Smith,
1991) …” should be replaced with citations such as “Smith (1991)
previously showed …”. Papers that do not conform to these requirements
will be rejected without review.
Authors of papers that have been or will be submitted to other
meetings or publications must provide this information to the workshop
organizers dmr2023-chairs at googlegroups.com. Authors of accepted papers
must notify the program chairs within 10 days of acceptance if the
paper is withdrawn for any reason.
** DMR 2023 does not have an anonymity period. However, we ask you to
be reasonable and not publicly advertise your preprint during (or
right before) review.

=== IMPORTANT DATES ===
Submissions due                 April 3, 2023 EXTENDED TO APRIL 10,
2023
Notification of acceptance      May 1, 2023
Camera-ready deadline           June 1, 2023
Workshop date           June 20, 2023
IWCS conference         June 20-23, 2023



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