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LIMO@KONVENS 2023 : Linguistic Insights from and for Multimodal Language Processing @KONVENS 2023


When Sep 22, 2023 - Sep 22, 2023
Where Ingolstadt, Germany
Submission Deadline Jul 7, 2023
Notification Due Aug 21, 2023
Final Version Due Sep 4, 2023
Categories    linguistic insights   multimodal   natural language processing   computational linguistics

Call For Papers

We welcome long-paper submissions that present unpublished and complete research and short-paper submissions that include ongoing research, lessons learned from unsuccessful methodological attempts, research proposals, and surveys highlighting opportunities for new approaches.

All accepted papers will be included in the ACL Anthology.

Topics of interest wrt. LIMO 2023 include, but are not limited to:

New multimodal datasets and training schemes in text and dialogue

Multimodal tasks and frameworks in CL

Annotation of multimodal datasets

Modeling and analysis of linguistic phenomena in multimodal datasets

Analysis and discussion of shortcomings of existing multimodal language models

Approaches to multimodality in different domains, e.g., documents, social media, visual dialogue, situated dialogue, etc.

Work on cross-modal and inter-modal representations, relationships, and dependencies

Opinion pieces and (theoretical) reflections on multimodality in NLP/Computational Linguistics

Important Dates

Submission deadline: 07 July 2023

Author notification: 21 August 2023

Camera-ready: 04 September 2023

Workshop: 22 September 2023

Note: All deadlines are 11:59 PM UTC-12:00 ("anywhere on Earth")

All paper submissions must use the official KONVENS 2023 style templates.

Long papers must not exceed eight (8) pages of content.

Short papers and demonstration papers must not exceed four (4) pages of content.

Non-archival abstracts must not exceed one (1) page.

References do not count against these limits. Supplementary material does not count towards the page limit and should be included in the appendix.

Submission Form
We strongly encourage authors to use LaTeX in preparing their documents. Papers must be submitted electronically via the KONVENS submission page by selecting the "LIMO Workshop" track.

Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors’ 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.

Dual Submission Policy
Dual submissions of papers are allowed. Authors of archival papers that have been to other venues must provide this information on the front page of the submission indicating the names and dates of the conferences, workshops or meetings where you have submitted or plan to submit your paper in addition to this workshop. Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason.

Related Resources

LIMO2024@KONVENS 2024   2nd workshop on Linguistic Insights from and for Multimodal Language Processing @KONVENS 2024
ISEEIE 2024   2024 4th International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2024)
ECNLPIR 2024   2024 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2024)
SPIE-Ei/Scopus-ITNLP 2024   2024 4th International Conference on Information Technology and Natural Language Processing (ITNLP 2024) -EI Compendex
MLNLP 2024   2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP 2024)
NLCA 2024   5th International Conference on Natural Language Computing Advances
TAL-ALD 2024   Special issue of the journal Traitement Automatique des Langues (TAL) Abusive Language Detection : Linguistic Resources, Methods and Applications
Insights 2024   Fifth Workshop on Insights from Negative Results in NLP
FLLM 2024   The 2nd International Conference on Foundation and Large Language Models
IPM-LLMDQKG 2025   Special issue of Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs