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      Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge

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          Abstract

          Luminoso participated in the SemEval 2018 task on "Capturing Discriminative Attributes" with a system based on ConceptNet, an open knowledge graph focused on general knowledge. In this paper, we describe how we trained a linear classifier on a small number of semantically-informed features to achieve an \(F_1\) score of 0.7368 on the task, close to the task's high score of 0.75.

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          A semantic matching energy function for learning with multi-relational data

           Jason Weston,  Antoine Bordes,  Xavier Glorot … (2014)
          Article 0 comments Cited 59 times – based on 0 reviews     Review now
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            A picture of search

             Greg Pass,  Abdur Chowdhury,  Cayley Torgeson (2006)
            Article 0 comments Cited 36 times – based on 0 reviews
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              ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

               Robert Speer,  Joanna Lowry-Duda (2017)
              Article 0 comments Cited 9 times – based on 0 reviews
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                Author and article information

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                Publication date Created: 05 June 2018
                Article
                DOI: 10.18653/v1/S18-1162
                ArXiV ID: 1806.01733
                License:

                http://creativecommons.org/licenses/by/4.0/

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                Comments SemEval 2018, 5 pages
                Categories cs.CL

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                ScienceOpen disciplines: Theoretical computer science

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