Challenge: morphology and syntax work on sentence level, but semantic-pragmatic phenomena are often related to two or more neighbouring sentences and possibly to an extra-linguistic context.
Approach: They present semantic-pragmatic specification and annotations in the Prague Dependency Treebank - Consolidated 2.0 release2 by annotating the entire corpus.
Outcome: The proposed annotations are based on the Prague Dependency Treebank -Consolidated 2.0 (PDT-C 2.0) the dataset contains more than 3 million tokens (of Czech) manually annotated from morphology to surface and deep syntax including several types of semantic-pragmatic annotations.

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Challenge: Discussions on an appropriate annotation scheme for large and complex information are ongoing . multi-layer system allows a comprehensive description of relations between morphological properties, syntactic function and expressed meaning.
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Prague Dependency Treebank - Consolidated 1.0 (2020.lrec-1)

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Challenge: Using the standard PDT scheme, the Prague Dependency Treebank-Consolidated 1.0 contains 4 different datasets of Czech, uniformly annotated using the standard scheme.
Approach: They present a richly annotated and genre-diversified language resource, the Prague Dependency Treebank-Consolidated 1.0, which contains 4 different datasets of Czech, uniformly annnotated using the standard PDT scheme.
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Cost-Effective Discourse Annotation in the Prague Czech–English Dependency Treebank (2024.lrec-main)

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Challenge: a method for obtaining a high-quality annotation of explicit discourse relations is a resource-demanding task.
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Announcing the Prague Discourse Treebank 3.0 (2024.lrec-main)

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Challenge: PDiT 3.0 contains 21,662 discourse relations (plus 445 list relations) in 49 thousand sentences.
Approach: They present the Prague Discourse Treebank 3.0, a new version of the annotation of discourse relations marked by primary and secondary discourse connectives in the Prague Dependency Treebank.
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection (2020.lrec-1)

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Challenge: Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages.
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Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges (2025.acl-long)

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Challenge: linguistics studies how context influences meaning of language and how people use it to convey implied meanings, emotions, and intentions.
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Spoken Language Treebanks in Universal Dependencies: an Overview (2022.lrec-1)

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Challenge: spoken language treebanks have divergent annotation schemes limiting cross-resource explorations . many spoken language trees have no written form, but many of the world languages have no spoken form at all.
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Joint Annotation of Morphology and Syntax in Dependency Treebanks (2024.lrec-main)

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Challenge: Syntactic treebanks have been in development since the 1970s . they are now available for a vast array of languages from across the globe .
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Fine-grained Classification of Circumstantial Meanings within the Prague Dependency Treebank Annotation Scheme (2024.lrec-main)

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Challenge: a formally and semantically based fine-grained classification of circumstantial meanings is proposed for the Czech language . the methodology and principles used are language independent .
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Building an Ellipsis-aware Chinese Dependency Treebank for Web Text (L18-1)

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Challenge: ellipsis is a common linguistic phenomenon that some words are left out as they are understood from the context, especially in oral utterance.
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