41 datasets found

Keywords: semantics

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  • Mapping Czech Verbal Valency to PropBank Argument Labels: LREC2024 - verifica...

    Mapping table for the article Hajič et al., 2024: Mapping Czech Verbal Valency to PropBank Argument Labels, in LREC-COLING 2024, as preprocess by the algorithm described in the...
  • VALLEX 3.0

    VALLEX 3.0 provides information on the valency structure (combinatorial potential) of verbs in their particular senses, which are characterized by glosses and examples. VALLEX...
  • NomVallex 2.0

    NomVallex 2.0 is a manually annotated valency lexicon of Czech nouns and adjectives, created in the theoretical framework of the Functional Generative Description and based on...
  • Uniform Meaning Representation

    The goal of the Uniform Meaning Representation (UMR) project is to design a meaning representation that can be used to annotate the semantic content of a text. UMR is primarily...
  • NomVallex 2.5

    NomVallex is a manually annotated valency lexicon of Czech nouns and adjectives, adopting the theoretical framework of Functional Generative Description as its theoretical...
  • Semantically annotated sample of Czech and English conversion pairs of verbs ...

    Supplementary files for a comparative study of word-formation without the addition of derivational affixes (conversion) in English and Czech. The two .csv files contain 300...
  • Corpus OVER

    Many studies in cognitive linguistics have analysed the semantics of 'over', notably the semantics associated with 'over' as a preposition. Most of them generally conclude that...
  • NomVallex I.

    The NomVallex I. lexicon describes valency of Czech deverbal nouns belonging to three semantic classes, i.e. Communication (dotaz 'question'), Mental Action (plán 'plan') and...
  • PDT-Vallex: Czech Valency lexicon linked to treebanks

    The valency lexicon PDT-Vallex has been built in close connection with the annotation of the Prague Dependency Treebank project (PDT) and its successors (mainly the Prague...
  • Prague Dependency Treebank 3.5

    The Prague Dependency Treebank 3.5 is the 2018 edition of the core Prague Dependency Treebank (PDT). It contains all PDT annotation made at the Institute of Formal and Applied...
  • EngVallex - English Valency Lexicon 2.0

    EngVallex 2.0 as a slightly updated version of EngVallex. It is the English counterpart of the PDT-Vallex valency lexicon, using the same view of valency, valency frames and the...
  • Prague Dependency Treebank of Spoken Czech 2.0 (PDTSC 2.0)

    The Prague Dependency Treebank of Spoken Czech 2.0 (PDTSC 2.0) is a corpus of spoken language, consisting of 742,316 tokens and 73,835 sentences, representing 7,324 minutes...
  • The SemDaX Corpus

    The SemDax Corpus is a Danish human-annotated corpus relying on the combined wordnet and dictionary resources: DanNet and Den Danske Ordbog, and available through a CLARIN...
  • STO semantics (The Danish SIMPLE Lexicon) - LMF format

    The language specific encodings in The Danish SIMPLE Lexicon are performed on the basis of a unified, ontology-based semantic model - the so-called SIMPLE model - representing...
  • CompL-it

    CompL-it is a computational lexicon for Italian derived from LexicO (https://dspace-clarin-it.ilc.cnr.it/repository/xmlui/handle/20.500.11752/ILC-977), with the integration of...
  • LexicO

    LexicO is a resource deriving from Parole-Simple-Clips (http://hdl.handle.net/20.500.11752/ILC-88). This resource contains all four levels of linguistic information represented...
  • SIMPLE-LOD

    This resource contains the "LODification" of the names contained into the PAROLE SIMPLE CLIPS (PSC) Italian lexicon (http://hdl.handle.net/20.500.11752/ILC-88). The resource is...
  • Source code and data for the PhD Thesis "Metrics of Graph-Based Meaning Repre...

    This dataset contains source code and data used in the PhD thesis "Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG...
  • The MSC Data Set

    From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015)...
  • Replication Data for: Predicting Russian aspect by frequency across genres

    We ask whether the aspect of individual verbs can be predicted based on the statistical distribution of their inflectional forms and how this is influenced by genre. To address...
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