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This archive contains the raw data that ConceptNet 5 is built from. More information about ConceptNet is available at http://conceptnet.io. If you use ConceptNet as part of another work, you must attribute ConceptNet and you must not restrict its license terms. For more license information: https://creativecommons.org/licenses/by-sa/4.0/ ConceptNet has been developed by: * The MIT Media Lab, through various groups at different times: - Commonsense Computing - Software Agents - Digital Intuition * The Commonsense Computing Initiative, a worldwide collaboration with contributions from: - National Taiwan University - Universidade Federal de São Carlos - Hokkaido University - Tilburg University - Nihon Unisys Labs - Dentsu Inc. - Kyoto University - Yahoo Research Japan * Luminoso Technologies, Inc. Significant amounts of data were imported from: * WordNet, a project of Princeton University * Wikipedia and Wiktionary, collaborative projects of the Wikimedia Foundation * Luis von Ahn's "Games with a Purpose" * DBPedia * OpenCyc * JMDict, by Jim Breen ConceptNet also takes input from these sources of distributional word embeddings: ConceptNet takes input from these sources of pre-computed distributional word embeddings: - GloVe: Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global Vectors for Word Representation. https://nlp.stanford.edu/projects/glove/ - word2vec: Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In Computing Research Repository. http://dblp.org/rec/bib/journals/corr/abs-1301-3781 - fastText: Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. http://fasttext.cc Here is a short, incomplete list of people who have made significant contributions to the development of ConceptNet as a data resource, roughly in order of appearance: * Push Singh * Catherine Havasi * Hugo Liu * Hyemin Chung * Robyn Speer * Ken Arnold * Yen-Ling Kuo * Naoki Otani
knowledge graph, semantic network, ConceptNet, multilingual
knowledge graph, semantic network, ConceptNet, multilingual
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 23 | |
| downloads | 164 |

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