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Luminoso Input Data for SemEval-2018 Task 10: "Capturing Discriminative Attributes"

Speer, Robyn; Lowry-Duda, Joanna


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    "description": "<p>This is the data required to run Luminoso&#39;s entry to the SemEval-2018 task on Capturing Discriminative Attributes.</p>\n\n<p>This data includes:</p>\n\n<ul>\n\t<li>A recently-computed version of the <a href=\"https://github.com/commonsense/conceptnet-numberbatch\">ConceptNet Numberbatch</a> word embeddings</li>\n\t<li>The&nbsp;output of an implementation of Semantic Matching Energy over ConceptNet</li>\n\t<li>A SQLite database containing the lead section of all articles on the <a href=\"http://en.wikipedia.org\">English Wikipedia</a> on 2017-12-20</li>\n\t<li>The text file that that database is constructed from</li>\n\t<li>A SQLite database of words that co-occur in <a href=\"http://storage.googleapis.com/books/ngrams/books/datasetsv2.html\">Google Books 2-grams</a></li>\n\t<li>The text file containing total counts of 2-grams in the Google Books data, which that database is constructed from</li>\n</ul>\n\n<p>For more information, see the paper &quot;Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge&quot;, by Robyn&nbsp;Speer and Joanna Lowry-Duda, to appear in the proceedings of the SemEval workshop at&nbsp;NAACL 2018.</p>", 
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