Workshop on Structured Linguistic Data and Evaluation (SLiDE)
A full-day workshop at LREC 2026, 11-16 May 2026, Palma, Mallorca (Spain)
In the last ten years, significant advances in deep learning models and
the development of Large Language Models (LLMs) have revolutionized the
fields of computational linguistics (CL) and natural language processing
(NLP). In turn, this has led to a complete re-assessment of the language
resources and evaluation practices necessary for training LLMs and
analyzing their outputs. In particular, the availability of very large
amounts of unstructured data for training foundational models has come
into focus, while the value of high-quality structured linguistic data
with rich annotations at various levels of linguistic analysis has been
downplayed by comparison. However, as CL and NLP practitioners engage
further with LLMs and debate their strengths and weaknesses, the
importance of high-quality, structured linguistic data has been
re-emphasized.
The proposed workshop can be seen as related to the Treebanks and
Linguistic Theories (TLT) conference series and the more recent
SyntaxFest venue. Over the years, these venues have provided a central
forum for high-quality research on treebanks, syntactic theory,
syntax-semantics interface, structured meaning representations, and
annotated linguistic resources. With record participation in recent
years, they demonstrate the vitality and relevance of this line of work.
The Workshop on Structured Linguistic Data is conceived as both a
continuation of this tradition and an adaptation to the new realities of
an LLM-dominated research landscape. The workshop will bring together
researchers from these overlapping traditions to advance methods,
resources, and practices for integrating structured linguistic data into
the LLM era.
Topics of interest include but are not limited to:
Linguistic Data Analyses, Language Resources, and Evaluation
Grammar processing with NLP and LLM-based tools
Phonological and morphological analysis and LLM tokenization
Annotation strategies with LLM-empowered methodologies and tools
Design principles and annotation schemes for structured linguistic data
Multi-lingual and cross-lingual settings
Mapping of structured linguistic data to Linked Open Data resources
Evaluation informed by language typology
Language resources for under-resourced and endangered languages
The use of structured linguistic data for NLP applications
The use of structured linguistic data in acquiring linguistic knowledge
(Semi-)automatic methods for creating structured linguistic data
Spoken language Data
Speech-to-text applications
Speech Generation techniques
Speech data preparation, curation and evaluation
Multimodality and Situated Dialogue
Structured multimodal resources: gesture AMR (GAMR), gaze and posture
annotation, multimodal dialogue corpora.
Multimodal grounding: linking language with visual, gestural, and action
representations
Structured representations for co-attention and alignment in multiparty
dialogue
Multimodal evaluation resources for LLMs
Pragmatics and Discourse
Structured data for discourse and dialogue: discourse relation
annotation, coherence structures, dialogue acts
Pragmatic annotation (speech acts, presupposition, implicature,
politeness, stance)
Structured approaches to common ground tracking and Theory of Mind in LLMs
Semantics and Lexical Meaning
Dependency analysis and semantic parsing
Annotation beyond syntax: semantics, pragmatics and discourse
Structured data for lexical semantics: sense inventories, semantic
frames, qualia structure, and type-theoretic resources
Computational semantics resources: Abstract Meaning Representation
(AMR), Universal Meaning Representation (UMR), Discourse, Representation
Structures, Minimal Recursion Semantics (MRS), Type Theory with Records
(TTR)
Distributional and neural-symbolic representations of lexical meaning:
(e.g., Holographic Reduced Representations (HRR), hyperdimensional
computing) for structured LLM grounding
Aligning vector-based meaning representations with symbolic/typed
structures
We invite paper submissions in two distinct tracks:
regular papers on substantial and original research, including empirical
evaluation results, where appropriate – 6 to 8 pages excluding
references and potential ethics statements;
short papers on smaller, focused contributions, work in progress,
negative results, surveys, or opinion pieces – 4 to 6 pages excluding
references and potential ethics statements.
Invited speakers
Naiara Perez (University of the Basque Country)
Shira Wein (Amherst College)
Paper Submission and Templates
Submission follows the LREC 2026 conference instructions, using the
START conference management system.
Submissions should follow the LREC stylesheet, available on the
conference website on the Author’s kit page.
For more information about paper submission, please consult:
https://www.slide-workshop.org/
Papers must be anonymized to support double-blind reviewing.
Important Dates
February 22, 2026: Paper submission deadline
March 15, 2026: Notification of acceptance
March 25, 2026: Camera-ready papers
May 2026: Workshop at LREC 2026
All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).
Workshop Organizers
Jan Hajič (Charles University, Czech Republic)
Erhard Hinrichs (Tübingen University, Germany)
Sandra Kübler (Indiana University, USA)
Joakim Nivre (Uppsala University, Sweden)
Petya Osenova (Sofia University and IICT-BAS, Bulgaria)
James Pustejovsky (Brandeis University, USA)
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