We present the Czech Court Decisions Dataset (CCDD) -- a dataset of 300 manually annotated court decisions published by The Supreme Court of the Czech Republic and the Constitutional Court of the Czech Republic.
The Czech Legal Text Treebank 2.0 (CLTT 2.0) annotates the same texts as the CLTT 1.0. These texts come from the legal domain and they are manually syntactically annotated. The CLTT 2.0 annotation on the syntactic layer is more elaborate than in the CLTT 1.0 from various aspects. In addition, new annotation layers were added to the data: (i) the layer of accounting entities, and (ii) the layer of semantic entity relations.
The Sequoia corpus is a set of 3,099 linguistically-annotated French sentences, originating from four sources (Europarl, European Agency Reports, French regional journal L'Est Républicain, and French wikipedia).
Several types of annotations were added over the years.
The current release comprises:
- parts-of-speech (SEQUOIA ANR-08-EMER-013 project)
- syntactic dependency trees
- deep syntactic dependency graphs (Deep sequoia project)
- multi-word expressions and named entities (PARSEME COST project and PARSEME-FR ANR-14-CERA-0001 project)
- coarse semantic tags for nouns (FrSemCor project)
See the deep sequoia page for a detailed description: https://deep-sequoia.inria.fr/
Annotation of named entities to the existing source Parallel Global Voices, ces-eng language pair. The named entity annotations distinguish four classes: Person, Organization, Location, Misc. The annotation is in the IOB schema (annotation per token, beginning + inside of the multi-word annotation). NEL annotation contains Wikidata Qnames.