OAGK Keyword Generation Dataset

  Authors

Çano, Erion

  Item identifier

http://hdl.handle.net/11234/1-2943

 Referenced by

https://www.aclweb.org/anthology/N19-1070

 Date issued

2019-04

 Type

corpus

 Size

2200000 entries, 3 files, 3.24 gb

 Language(s)

English

 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

 Publisher

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

 Acknowledgement

European Union and the Czech Ministry of Education

Project code: CZ.02.2.69/0.0/0.0/16_027/0008495

Project name: International Mobility of of Researchers at Charles University

 Subject(s)

keyword extraction supervised keyword generation

 Collection(s)

LINDAT / CLARIN Data & Tools

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