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52. Czech Named Entity Corpus 1.1
- Creator:
- Ševčíková, Magda, Žabokrtský, Zdeněk, Straková, Jana, and Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- named entity recognition and corpus
- Language:
- Czech
- Description:
- Czech Named Entity Corpus 1.1 fixes some issues of the Czech Named Entity Corpus 1.0: misannotated entities are fixed, all formats contain the same data, tmt format is replaced with treex format, all formats contain splitting into training, development and testing portion of the data. and SVV 267 314 (Teoretické základy informatiky a výpočetní lingvistiky), LM2010013 (LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat), GPP406/12/P175 (Vybrané derivační vztahy pro automatické zpracování češtiny), PRVOUK (PRVOUK)
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB
53. Czech Named Entity Corpus 2.0
- Creator:
- Ševčíková, Magda, Žabokrtský, Zdeněk, Straková, Jana, and Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- named entity recognition
- Language:
- Czech
- Description:
- Czech Named Entity Corpus 2.0 is a corpus of 8993 Czech sentences with manually annotated 35220 Czech named entities, classified according to a two-level hierarchy of 46 named entities. and SVV 267 314 (Teoretické základy informatiky a výpočetní lingvistiky), LM2010013 (LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat), GPP406/12/P175 (Vybrané derivační vztahy pro automatické zpracování češtiny), PRVOUK (PRVOUK)
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB
54. Czech PDT-C 1.0 Model for UDPipe 2 (2023-11-16)
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, parser, dependency parser, MorfFlex CZ 2.0, and PDT-C 1.0
- Language:
- Czech
- Description:
- Tokenizer, POS Tagger, Lemmatizer, and Parser model based on the PDT-C 1.0 treebank (https://hdl.handle.net/11234/1-3185). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#czech_pdtc1.0_model . To use these models, you need UDPipe version 2.1, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
55. Czech Relationship Extraction Dataset
- Creator:
- Šimečková, Zuzana and Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- entity relationship and relationship extraction
- Language:
- Czech
- Description:
- CERED (Czech Relationship Dataset) is a family of datasets created via distant supervision on Czech Wikipedia and Wikidata. It was created as part of a thesis on Relationship Extraction (2020). CERED0 is the largest dataset, it lacks negative relation and its relation inventory is huge. CERED*n* is a subset of CERED*n-1* that satisfies some conditions. The methodology of curating the datasets is detailed in the thesis. The format of the data is jsonL and the tools used to generate the dataset is python.
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
56. Czech restaurant information dataset for NLG
- Creator:
- Dušek, Ondřej, Jurčíček, Filip, Dvořák, Josef, Grycová, Petra, Hejda, Matěj, Olivová, Jana, Starý, Michal, and Štichová, Eva
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- natural language generation, dialogue system, and morphological generation
- Language:
- Czech
- Description:
- This is a dataset for natural language generation (NLG) in task-oriented spoken dialogue systems with Czech as the target language. It originated as a translation of the English San Francisco Restaurants dataset by Wen et al. (2015). It includes input dialogue acts and the corresponding output natural language paraphrases in Czech. Since the dataset is intended for recurrent neural network based NLG systems using delexicalization, inflection tables for all slot values appearing verbatim in the text are provided.
- Rights:
- Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB
57. Czech RST Discourse Treebank 1.0
- Creator:
- Poláková, Lucie, Zikánová, Šárka, Mírovský, Jiří, and Hajičová, Eva
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- discourse, discourse annotation, and annotated corpus
- Language:
- Czech
- Description:
- The Czech RST Discourse Treebank 1.0 (CzRST-DT 1.0) is a dataset of 54 Czech journalistic texts manually annotated using the Rhetorical Structure Theory (RST). Each text document in the treebank is represented as a single tree-like structure, the nodes (discourse units) are interconnected through hierarchical rhetorical relations. The dataset also contains concurrent annotations of five double-annotated documents. The original texts are a part of the data annotated in the Prague Dependency Treebank, although the two projects are independent.
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
58. Czech SubLex 1.0
- Creator:
- Veselovská, Kateřina and Bojar, Ondřej
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, lexicalConceptualResource, and wordList
- Subject:
- subjectivity lexicon, sentiment analysis, opinion mining, and polarity clues
- Language:
- Czech
- Description:
- Czech subjectivity lexicon, i.e. a list of subjectivity clues for sentiment analysis in Czech. The list contains 4626 evaluative items (1672 positive and 2954 negative) together with their part of speech tags, polarity orientation and source information. The core of the Czech subjectivity lexicon has been gained by automatic translation of a freely available English subjectivity lexicon downloaded from http://www.cs.pitt.edu/mpqa/subj_lexicon.html. For translating the data into Czech, we used parallel corpus CzEng 1.0 containing 15 million parallel sentences (233 million English and 206 million Czech tokens) from seven different types of sources automatically annotated at surface and deep layers of syntactic representation. Afterwards, the lexicon has been manually refined by an experienced annotator. and The work on this project has been supported by the GAUK 3537/2011 grant and by SVV project number 267 314.
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB
59. Czech Translation of SQuAD 2.0 and 1.1
- Creator:
- Macková, Kateřina and Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- SQuAD and reading comprehension
- Language:
- Czech
- Description:
- The Czech translation of SQuAD 2.0 and SQuAD 1.1 datasets contains automatically translated texts, questions and answers from the training set and the development set of the respective datasets. The test set is missing, because it is not publicly available. The data is released under the CC BY-NC-SA 4.0 license. If you use the dataset, please cite the following paper (the exact format was not available during the submission of the dataset): Kateřina Macková and Straka Milan: Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer, presented at TSD 2020, Brno, Czech Republic, September 8-11 2020.
- Rights:
- Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB
60. Czech WordNet 1.9 PDT
- Creator:
- Pala, Karel, Čapek, Tomáš, Zajíčková, Barbora, Bartůšková, Dita, Kulková, Kateřina, Hoffmannová, Petra, Bejček, Eduard, Straňák, Pavel, and Hajič, Jan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- ontology, wordnet, and Czech WordNet
- Language:
- Czech
- Description:
- A slightly modified version of the Czech Wordnet. This is the version used to annotate "The Lexico-Semantic Annotation of PDT using Czech WordNet": http://hdl.handle.net/11858/00-097C-0000-0001-487A-4 The Czech WordNet was developed by the Centre of Natural Language Processing at the Faculty of Informatics, Masaryk University, Czech Republic. The Czech WordNet captures nouns, verbs, adjectives, and partly adverbs, and contains 23,094 word senses (synsets). 203 of these were created or modified by UFAL during correction of annotations. This version of WordNet was used to annotate word senses in PDT: http://hdl.handle.net/11858/00-097C-0000-0001-487A-4 A more recent version of Czech WordNet is distributed by ELRA: http://catalog.elra.info/product_info.php?products_id=1089 and 1ET201120505, LM2010013
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB