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        <title>Duality of Link Prediction and Entailment Graph Induction</title>
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        <namePart type="given">Mohammad</namePart>
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        <namePart type="family">Cohen</namePart>
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    <abstract>Link prediction and entailment graph induction are often treated as different problems. In this paper, we show that these two problems are actually complementary. We train a link prediction model on a knowledge graph of assertions extracted from raw text. We propose an entailment score that exploits the new facts discovered by the link prediction model, and then form entailment graphs between relations. We further use the learned entailments to predict improved link prediction scores. Our results show that the two tasks can benefit from each other. The new entailment score outperforms prior state-of-the-art results on a standard entialment dataset and the new link prediction scores show improvements over the raw link prediction scores.</abstract>
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    <identifier type="doi">10.18653/v1/P19-1468</identifier>
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%0 Conference Proceedings
%T Duality of Link Prediction and Entailment Graph Induction
%A Hosseini, Mohammad Javad
%A Cohen, Shay B.
%A Johnson, Mark
%A Steedman, Mark
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F hosseini-etal-2019-duality
%X Link prediction and entailment graph induction are often treated as different problems. In this paper, we show that these two problems are actually complementary. We train a link prediction model on a knowledge graph of assertions extracted from raw text. We propose an entailment score that exploits the new facts discovered by the link prediction model, and then form entailment graphs between relations. We further use the learned entailments to predict improved link prediction scores. Our results show that the two tasks can benefit from each other. The new entailment score outperforms prior state-of-the-art results on a standard entialment dataset and the new link prediction scores show improvements over the raw link prediction scores.
%R 10.18653/v1/P19-1468
%U https://aclanthology.org/P19-1468
%U https://doi.org/10.18653/v1/P19-1468
%P 4736-4746

Markdown (Informal)

[Duality of Link Prediction and Entailment Graph Induction](https://aclanthology.org/P19-1468) (Hosseini et al., ACL 2019)

• Duality of Link Prediction and Entailment Graph Induction (Hosseini et al., ACL 2019)

ACL

• Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, and Mark Steedman. 2019. Duality of Link Prediction and Entailment Graph Induction. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4736–4746, Florence, Italy. Association for Computational Linguistics.