ConceptNet 5.6 Raw Data

This archive contains the raw data that ConceptNet 5 is built from. More information about ConceptNet is available at http://conceptnet.io. 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. * 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 Ku