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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

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              ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

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                Author and article information

                Journal
                05 June 2018
                Article
                10.18653/v1/S18-1162
                1806.01733

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

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                SemEval 2018, 5 pages
                cs.CL

                Theoretical computer science

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