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This is the data required to run Luminoso's entry to the SemEval-2018 task on Capturing Discriminative Attributes. This data includes: A recently-computed version of the ConceptNet Numberbatch word embeddings The output of an implementation of Semantic Matching Energy over ConceptNet A SQLite database containing the lead section of all articles on the English Wikipedia on 2017-12-20 The text file that that database is constructed from A SQLite database of words that co-occur in Google Books 2-grams The text file containing total counts of 2-grams in the Google Books data, which that database is constructed from For more information, see the paper "Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge", by Robyn Speer and Joanna Lowry-Duda, to appear in the proceedings of the SemEval workshop at NAACL 2018.
semeval, conceptnet
semeval, conceptnet
| 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 | 15 | |
| downloads | 1 |

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