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

Speer, Robyn; Lowry-Duda, Joanna

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    <subfield code="a">Luminoso Input Data for SemEval-2018 Task 10: "Capturing Discriminative Attributes"</subfield>
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    <subfield code="a">&lt;p&gt;This is the data required to run Luminoso&amp;#39;s entry to the SemEval-2018 task on Capturing Discriminative Attributes.&lt;/p&gt;

&lt;p&gt;This data includes:&lt;/p&gt;

	&lt;li&gt;A recently-computed version of the &lt;a href=""&gt;ConceptNet Numberbatch&lt;/a&gt; word embeddings&lt;/li&gt;
	&lt;li&gt;The&amp;nbsp;output of an implementation of Semantic Matching Energy over ConceptNet&lt;/li&gt;
	&lt;li&gt;A SQLite database containing the lead section of all articles on the &lt;a href=""&gt;English Wikipedia&lt;/a&gt; on 2017-12-20&lt;/li&gt;
	&lt;li&gt;The text file that that database is constructed from&lt;/li&gt;
	&lt;li&gt;A SQLite database of words that co-occur in &lt;a href=""&gt;Google Books 2-grams&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;The text file containing total counts of 2-grams in the Google Books data, which that database is constructed from&lt;/li&gt;

&lt;p&gt;For more information, see the paper &amp;quot;Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge&amp;quot;, by Robyn&amp;nbsp;Speer and Joanna Lowry-Duda, to appear in the proceedings of the SemEval workshop at&amp;nbsp;NAACL 2018.&lt;/p&gt;</subfield>
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