OAGKX Keyword Generation Dataset

Title:

OAGKX Keyword Generation Dataset

Creator:

Çano, Erion

Contributor:

Ministerstvo školství, mládeže a tělovýchovy České republiky@@CZ.02.2.69/0.0/0.0/16_027/0008495@@OP VVV Mezinárodní mobilita výzkumných pracovníků Univerzity Karlovy@@nationalFunds@@ and European Union@@H2020-ICT-2018-2-825460@@ELITR - European Live Translator@@euFunds@@info:eu-repo/grantAgreement/EC/H2020/825460

Publisher:

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

Identifier:

http://hdl.handle.net/11234/1-3062

Subject:

keyword extraction, supervised keyword generation, and abstractive keyphrasing

Type:

text and corpus

Description:

OAGKX is a keyword extraction/generation dataset consisting of 22674436 abstracts, titles and keyword strings from scientific articles. The 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. The data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY license. This data (OAGKX Keyword Generation Dataset) is released under CC-BY license (https://creativecommons.org/licenses/by/4.0/). If using it, please cite the following paper: Çano Erion, Bojar Ondřej. Keyphrase Generation: A Multi-Aspect Survey. FRUCT 2019, Proceedings of the 25th Conference of the Open Innovations Association FRUCT, Helsinki, Finland, Nov. 2019 To reproduce the experiments in the above paper, you can use the first 100000 lines of part_0_0.txt file.

Language:

English

Rights:

Creative Commons - Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0/
PUB

Relation:

info:eu-repo/grantAgreement/EC/H2020/825460
https://ieeexplore.ieee.org/document/8981519
http://hdl.handle.net/11234/1-2943

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2019-10-21