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arXiv · 2003.03736

DeepLENS: Deep Learning for Entity Summarization

Qingxia Liu·Gong Cheng·Yuzhong Qu
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Abstract

Entity summarization has been a prominent task over knowledge graphs. While existing methods are mainly unsupervised, we present DeepLENS, a simple yet effective deep learning model where we exploit textual semantics for encoding triples and we score each candidate triple based on its interdependence on other triples. DeepLENS significantly outperformed existing methods on a public benchmark.

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Qingxia Liu, Gong Cheng, Yuzhong Qu. 2020-03-08. DeepLENS: Deep Learning for Entity Summarization. https://arxiv.org/abs/2003.03736

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