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SynSemClass lexicon: browse (v5.1)
© 2024 Univerzita Karlova v Praze, ÚFAL MFF UK (Charles University in Prague, Czech Republic)
(This update of v5.0 replaces links to Princeton WordNet by links to Open English Wordnet - see Description at http://hdl.handle.net/11234/1-5808)
OBSOLETE!!! The newer version of these web pages (for browsing the latest SynSemClass lexicon) can be found at https://lindat.mff.cuni.cz/services/SynSemClass.
Please see also the SynSemClass - Event-type Ontology in Multiple Languages main research page for additional resources and documentation.
For searching data you can use SynSemClass Search Tool.
These webpages and its contents are licensed to you under the CC-BY-NC-ND 4.0 International license.
You can also download the SynSemClass 5.1 lexicon directly from the LINDAT/CLARIAH-CZ repository (http://hdl.handle.net/11234/1-5808); other licenses (more or less permissive) might apply.
The previous version of these web pages (for browsing SynSemClass 5.0) can be found at https://lindat.mff.cuni.cz/services/SynSemClass50.
To cite SynSemClass 5.1 as a dataset, please use the following:
Urešová, Zdeňka; et al., 2024. SynSemClass 5.1. LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-5808. Dec 10, 2024.
To cite SynSemClass 5.1 as this web page (search and browse interface), please use the following:
Urešová, Zdeňka; et al., 2024. SynSemClass 5.1 service. LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, https://lindat.mff.cuni.cz/en/services#SynSemClass. Dec 10, 2024.
To cite publications about SynSemClass 5.1, please see the list at the bottom of the project webpage.
The SynSemClass project, the dataset creation and curation, and the online access to it has been supported by the LINDAT/CLARIAH-CZ Research Infrastructure (project No. LM2023062) and its predecessor projects LM2018101, LM2010013 and LM2015071 funded by the Ministry of Education, Youth and Sports of the Czech Republic and by the EXPRO project LUSyD, funded by the Grant Agency of the Czech Republic as project No. GX20-16819X. The German entries have been added under the Humane AI Net project funded by the European Commission, project No. 952026 and Uniform Meaning Representation (UMR), project No. LUAUS23283, funded by the Ministry of Education, Youth and Sports of the Czech Republic.
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