Czech Named Entity Corpus
Czech Named Entity Corpus
The latest version of the Czech Named Entity Corpus (Czech Named Entity Corpus 2.0) is a corpus of 8993 Czech sentences with manually annotated 35220 Czech named entities.
The corpus uses 46 atomic named entity types, which can be embedded, e.g., the
river name can be part of a name of a city as in <gu Ústí nad <gh
Labem>>. There are also 4 so-called NE containers: two or more NEs
are parts of a NE container (e.g., two NEs, a first name and a surname, form
together a person name NE container such as in <P <pf Jan><ps
Novák>>). The 4 NE containers are marked with a capital one-letter
tag: P for (complex) person names, T for temporal
expressions, A for addresses, and C for bibliographic
items.
Current version download: Czech Named Entity Corpus 2.0.
Detailed description of the corpus, file formats, two-level named entity hierarchy and download links are available for every released version:
Work Published using CNEC
CNEC Leaderboard
| CNEC 1.0 Types | CNEC 1.0 Supertypes | CNEC 2.0 Types | CNEC 2.0 Supertypes | CNEC 1.0 Extended | CNEC 2.0 Extended | System | Code | Method |
|---|---|---|---|---|---|---|---|---|
| – | – | 86.39 | 89.29 | – | – | NameTag 3 (Straková et al., 2019) | GitHub | Seq2seq+fine-tuned RobeCzech |
| – | – | – | – | – | 86.39 | Bachelor Thesis of Müller 2020, a rerun of Straková et al., 2019 | Straková et al., 2019 | LSTM-CRF+BERT |
| 86.88 | 89.91 |
|
|
– | – | Straka et al., 2019 | – | Seq2seq+BERT |
| 86.88 | – | – | – | – | – | Straková et al., 2019 | GitHub | Seq2seq+BERT |
| 83.15 | 86.30 | – | – | 83.27 | 84.22 | Hluboké učení v automatické analýze českého textu. In: Slovo a slovesnost, ISSN 0037-7031, vol. 80, no. 4, pp. 306-327 | – | Deep NN |
| – | – | – | – | – | 81.05 | Güngör, 2018 | – | RNN+WE+CLE |
| 81.20 | 84.68 | 79.23 | 82.78 | 80.88 | 80.79 | Straková et al., 2016 | GitHub | RNN+WE+CLE |
| – | – | – | – | 74.08 | – | Konkol et al., 2015 | – | Latent semantics |
| – | – | – | – | 75.61 | – | Demir and Özgür, 2014 | – | NN+WE |
| – | – | – | – | 74.23 | 74.37 | Konkol and Konopík, 2014 | – | CRF+stemming |
| 79.23 | 82.82 | – | – | – | – | Straková et al., 2013 | NameTag 1 | Simple NN |
| – | 79.00 | – | – | 74.08 | – | Konkol and Konopík, 2013 | – | CRF |
| – | 72.94 | – | – | – | – | Konkol and Konopík, 2011 | – | Maximum entropy |
| 68.00 | 71.00 | – | – | – | – | Kravalová and Žabokrtský, 2009 | – | SVM |
| 62.00 | 68.00 | – | – | – | – | Ševčíková et al., 2007 | – | Dec. trees |
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Tools
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Other
- Straková Jana, Straka Milan, Ševčíková Magda, Žabokrtský Zdeněk: Czech Named Entity Corpus. In: Handbook of Linguistic Annotation, Copyright © Springer Netherlands, Netherlands, ISBN 978-94-024-0879-9, pp. 855-873, 1459 pp., 2017.
- Ševčíková Magda, Žabokrtský Zdeněk, Krůza Oldřich: Zpracování pojmenovaných entit v českých textech. Technical report no. 2007/TR-2007-36, Copyright © ÚFAL MFF UK, 60 pp., 2007.
Please Cite this Corpus As:
Ševčíková, M., Žabokrtský, Z., Krůza, O.: Named Entities in Czech: Annotating Data and Developing NE Tagger. In: Matoušek, V., Mautner, P. (eds.) TSD 2007. LNCS (LNAI), vol. 4629, pp. 188–195. Springer, Heidelberg (2007).
@inproceedings{SevcikovaEtAl2007CNEC,
booktitle = {Lecture Notes in Artificial Intelligence, Proceedings of the 10th International Conference on Text, Speech and Dialogue},
series = {Lecture Notes in Computer Science},
title = {Named Entities in Czech: Annotating Data and Developing {NE} Tagger},
editor = {V{\'{a}}clav Matou{\v{s}}ek and Pavel Mautner},
author = {Magda {\v{S}}ev{\v{c}}{\'{\i}}kov{\'{a}} and Zden{\v{e}}k {\v{Z}}abokrtsk{\'{y}} and Old{\v{r}}ich Kr{\r{u}}za},
year = {2007},
publisher = {Springer},
address = {Berlin / Heidelberg},
volume = {4629},
number = {{XVII}},
pages = {188--195},
isbn = {978-3-540-74627-0},
issn = {0302-9743},
}
Acknowledgements:
- SVV project number 267 314 (Teoretické základy informatiky a výpočetní lingvistiky)
- LINDAT/CLARIN (Large infrastructural grant for language resources, data access and distribution and related reseearch), project LM2010013 of the Ministry of Education of the Czech Republic
- GAČR 406/12/P175 project (Vybrané derivační vztahy pro automatické zpracování češtiny) of the Grant Agency of the Czech Republic
- PRVOUK P46 project