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We tackle \ac{NED} by comparing entities in short sentences with \wikidata{} graphs.
Using Encyclopedic Knowledge for Named Entity Disambiguation
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AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked Data
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems
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TabEL: Entity Linking in Web Tables
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A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams. ACM Press, 1201–1209
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Utilizing Knowledge Graphs in Text-centric Information Retrieval. In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM ’17) . ACM, New York, NY, USA, 815–816
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Ranking Triples using Entity Links in a Large Web Crawl. In Triple Scorer task at WSDM Cup 2017 . 5
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Named Entity Disambiguation for Noisy Text
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Roi Blanco, Giuseppe Ottaviano, and Edgar Meij. 2015 · 2015
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Stance Detection with Bidirectional Conditional Encoding. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Austin, Texas, 876–885
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A comparison of Named-Entity Disambiguation and Word Sense Disambiguation
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With a Little Help from my Neighbors: Person Name Linking Using the Wikipedia Social Network. ACM Press, 985–990
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Collective Entity Resolution with Multi-Focal Attention. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Berlin, Germany, 621–631
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Semi-Supervised Classification with Graph Convolutional Networks
Thomas N. Kipf and Max Welling. 2016 · 2016
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Attention is All you Need
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Graph Convolutional Matrix Completion
Rianne van den Berg, Thomas N. Kipf, and Max Welling. 2017 · 2017
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Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, and George E. Dahl. 2017 · 2017
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Copenhagen, Denmark, 1506–1515
Diego Marcheggiani and Ivan Titov. 2017 · 2017
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Lightweight Multilingual Entity Extraction and Linking. In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM ’17) . ACM, New York, NY, USA, 365–374
Aasish Pappu, Roi Blanco, Yashar Mehdad, Amanda Stent, and Kapil Thadani. 2017 · 2017
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CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. ACM Press, 1015–1024
Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, and Jiawei Han. 2017 · 2017
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Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2017 · 2017
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Neural Relational Inference for Interacting Systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard Zemel. 2018 · 2018
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DeepType: Multilingual Entity Linking by Neural Type System Evolution
Jonathan Raiman and Olivier Raiman. 2018 · 2018
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