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dc.contributor.author Çano, Erion
dc.date.accessioned 2019-03-08T12:46:46Z
dc.date.available 2019-03-08T12:46:46Z
dc.date.issued 2019-04
dc.identifier.uri http://hdl.handle.net/11234/1-2943
dc.description OAGK is a keyword extraction/generation dataset consisting of 2.2 million abstracts, titles and keyword strings from cientific articles. Texts were lowercased and tokenized with Stanford CoreNLP tokenizer. No other preprocessing steps were applied in this release version. Dataset records (samples) are stored as JSON lines in each text file. This data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY licence. This data (OAGK Keyword Generation Dataset) is released under CC-BY licence (https://creativecommons.org/licenses/by/4.0/). If using it, please cite the following paper: Çano, Erion and Bojar, Ondřej, 2019, Keyphrase Generation: A Text Summarization Struggle, 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, June 2019, Minneapolis, USA
dc.language.iso eng
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relation.isreferencedby https://www.aclweb.org/anthology/N19-1070
dc.relation.isreplacedby http://hdl.handle.net/11234/1-3062
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject keyword extraction
dc.subject supervised keyword generation
dc.title OAGK Keyword Generation Dataset
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIN
contact.person Erion Çano cano@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
sponsor European Union and the Czech Ministry of Education CZ.02.2.69/0.0/0.0/16_027/0008495 International Mobility of of Researchers at Charles University Other
size.info 2200000 entries
size.info 3 files
size.info 3.24 gb
files.size 1086288473
files.count 2


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OAGK Keyword Generation Dataset =============================== OAGK is a keyword extraction/generation dataset consisting of 2.2 million abstracts, titles and keyword strings from scientific articles. Texts were lowercased and tokenized with Stanford CoreNLP tokenizer. No other preprocessing steps were applied in this release version. Dataset records (samples) are stored as JSON lines in each text file. This data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY licence. This data (OAGK Keyword Generation Dataset) is released under CC-BY licence (https://creativecommons.org/licenses/by/4.0/). Download -------- This dataset can be download from LINDAT/CLARIN repository http://hdl.handle.net/11234/1-2943 Publications ------------ If using it, please cite the following paper: Çano, Erion and Bojar, Ondřej, 2019, Keyphrase Generation: A Text Summarization Struggle, 2019 Annual Conf . . .
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  • OAGK
    • oagk_train.txt2 GB
    • oagk_val.txt141 MB
    • oagk_test.txt239 MB

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