Papers by Jan Štěpánek

4 papers
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.
Quality and Efficiency of Manual Annotation: Pre-annotation Bias (2022.lrec-1)

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Challenge: Annotators using pre-annotation are less efficient at producing high quality annotations.
Approach: They propose to use an automatic pre-annotation for a task to judge annotation quality . they also evaluate the effect of automatic linguistically-based checks on the same data .
Outcome: The proposed method improves the quality of annotated sentences without reducing quality.
From Form to Meaning: The Case of Particles within the Prague Dependency Treebank Annotation Scheme (2025.coling-main)

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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.
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.
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.

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