research data . Dataset . 2019 . Embargo end date: 21 Oct 2019

OAGKX Keyword Generation Dataset

Çano, Erion;
Open Access
  • Published: 21 Oct 2019
  • Publisher: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Abstract
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. ...
Funded by
EC| ELITR
Project
ELITR
European Live Translator
  • Funder: European Commission (EC)
  • Project Code: 825460
  • Funding stream: H2020 | RIA
Communities
CLARIN
Digital Humanities and Cultural Heritage
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