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.
Approach: They propose a multi-layer annotation scheme for the Prague Dependency Treebank . they propose morphological properties, syntactic function and expressed meaning as multi-layered systems .
Outcome: The proposed scheme is sound and serves well for complex annotations.

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Semantic-pragmatic Annotations in the Prague Dependency Treebank (2026.findings-acl)

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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.
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 .
Approach: They propose a formally and semantically based fine-grained classification of circumstantial meanings based on Prague Dependency Treebanks examples.
Outcome: The proposed method is language independent and compares with English . it is carried out in the Czech language but not in any other annotation project .
ForFun 1.0: Prague Database of Forms and Functions – An Invaluable Resource for Linguistic Research (L18-1)

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Challenge: a new database, ForFun, is an invaluable resource for linguistic research . it allows researchers to elaborate various syntactic issues in depth .
Approach: They introduce the first version of ForFun, Prague Database of Forms and Functions . it uses syntactically annotated Prague Dependency Treebanks to organize annotations anew .
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A Survey of Meaning Representations – From Theory to Practical Utility (2024.naacl-long)

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Challenge: Symbolic meaning representations of natural language text have been studied since at least the 1960s . with the availability of large annotated corpora, the field has recently seen several new developments .
Approach: They propose a framework for expressing meaning in natural language text using annotated corpora and a set of tools for machine learning.
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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 .
Approach: They propose new formats to annotate syntactic and morphological relations in a dependency treebank using distributional criteria for the choice of the head of any combination.
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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.
Outcome: The Prague Dependency Treebank-Consolidated 1.0 contains 4 datasets of Czech, uniformly annotated using the standard PDT scheme.
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies (2020.lrec-1)

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Challenge: Despite the increasing number of contributions on Part-of-Speech tagging and parsing, automatic processing of user-generated content (UGC) still represents a challenging task.
Approach: They propose a set of guidelines for the annotation of user-generated texts within the Universal Dependencies framework.
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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.
Approach: They describe version 2 of the universal guidelines and discuss major changes from UD v1 to UD 2 . they propose a morphological layer, a syntactic layer and a word segmentation layer .
Outcome: The proposed treebanks are available for 90 languages and have been updated to meet the needs of multilingual parsers and researchers.
What Meaning-Form Correlation Has to Compose With: A Study of MFC on Artificial and Natural Language (2020.coling-main)

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Challenge: Compositionality is a widely discussed property of natural languages, although its exact definition has been elusive.
Approach: They propose that compositionality can be measured by measuring meaning-form correlation . they analyze three sets of languages: artificial toy languages tailored to be compositional .
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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.
Approach: They propose a method for obtaining a high-quality annotation of explicit discourse relations in the Czech part of the Prague Czech–English Dependency Treebank.
Outcome: The proposed method solves the problem of identifying discrepancies between the annotations in the Czech part of the Penn Treebank.

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