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ConceptNet Vector Ensemble 16.04 input data

<p>This is the data required to build the paper &quot;An Ensemble Method to Build High-Quality Word Embeddings&quot;, by Robyn&nbsp;Speer and Joshua Chin.</p> <p>The input&nbsp;data itself comes from:</p> <ul> <li> <p><a href="http://conceptnet5.media.mit.edu/">ConceptNet 5.4</a>, which contains data from Wiktionary, WordNet, and many contributors to Open Mind Common Sense projects, edited by Robyn Speer</p> </li> <li> <p><a href="http://nlp.stanford.edu/projects/glove/">GloVe</a>, by Jeffrey Pennington, Richard Socher, and Christopher Manning</p> </li> <li> <p><a href="https://code.google.com/archive/p/word2vec/">word2vec</a>, by Tomas Mikolov and Google Research</p> </li> <li> <p><a href="http://www.cis.upenn.edu/~ccb/ppdb/">PPDB</a>, by Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch</p> </li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0