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Start Over Contributor Ministerstvo školství, mládeže a tělovýchovy České republiky@@LM2015071@@LINDAT/CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat@@nationalFunds@@ Creator Straka, Milan Rights http://opensource.org/licenses/MPL-2.0 Harvested from LINDAT/CLARIAH-CZ repository

1. SumeCzech

Creator:
Straka, Milan, Mediankin, Nikita, Kocmi, Tom, Žabokrtský, Zdeněk, Hudeček, Vojtěch, and Hajič, Jan
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
summarization, SumeCzech, and Rouge
Language:
Czech
Description:
This entry contains the SumeCzech dataset and the metric RougeRAW used for evaluation. Both the dataset and the metric are described in the paper "SumeCzech: Large Czech News-Based Summarization Dataset" by Milan Straka et al. The dataset is distributed as a set of Python scripts which download the raw HTML pages from CommonCrawl and then process them into the required format. The MPL 2.0 license applies to the scripts downloading the dataset and to the RougeRAW implementation. Note: sumeczech-1.0-update-230225.zip is the updated release of the SumeCzech download script, including the original RougeRAW evaluation metric. The download script was modified to use the updated CommonCraw download URL and to support Python 3.10 and Python 3.11. However, the downloaded dataset is still exactly the same. The original archive sumeczech-1.0.zip was renamed to sumeczech-1.0-obsolete-180213.zip and is kept for reference.
Rights:
Mozilla Public License 2.0, http://opensource.org/licenses/MPL-2.0, and PUB

2. UDPipe

Creator:
Straka, Milan and Straková, Jana
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
tool and toolService
Subject:
tokenizer, POS tagger, tagger, lemmatization, parser, dependency parser, and CoNLL-U
Language:
English
Description:
UDPipe is an trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files. UDPipe is language-agnostic and can be trained given only annotated data in CoNLL-U format. Trained models are provided for nearly all UD treebanks. UDPipe is available as a binary, as a library for C++, Python, Perl, Java, C#, and as a web service. UDPipe is a free software under Mozilla Public License 2.0 (http://www.mozilla.org/MPL/2.0/) and the linguistic models are free for non-commercial use and distributed under CC BY-NC-SA (http://creativecommons.org/licenses/by-nc-sa/4.0/) license, although for some models the original data used to create the model may impose additional licensing conditions. UDPipe is versioned using Semantic Versioning (http://semver.org/). UDPipe website http://ufal.mff.cuni.cz/udpipe contains download links of both the released packages and trained models, hosts documentation and offers online demo. UDPipe development repository http://github.com/ufal/udpipe is hosted on GitHub.
Rights:
Mozilla Public License 2.0, http://opensource.org/licenses/MPL-2.0, and PUB