Enrico Santus, Chris Biemann, Emmanuele Chersoni &ndash; Massachussetts Institute of Technology, USA; Universität Hamburg, Germany; Aix-Marseille University, France
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern-and Graph-based Information to Identify Discriminative Attributes
Massachussetts Institute of Technology, USA; Universität Hamburg, Germany; Aix-Marseille University, France
nlp/semantics
Thirteen features related to word and word-feature frequency were calculated on the basis of the information extracted from a corpus of 3.2B words, corresponding to about 20\% of the Common Crawl.