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The embeddings of entities in a large knowledge base (e.g., Wikipedia) are highly beneficial for solving various natural language tasks that involve real world knowledge.
On the Coherence of Fake News Articles
Iknoor Singh, Deepak P, and Anoop K. 2019 · 1906
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YELM: End-to-End Contextualized Entity Linking
Haotian Chen, Sahil Wadhwa, Xi David Li, and Andrej Zukov-Gregoric. 2019 · 1911
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BERT is Not a Knowledge Base (Yet): Factual Knowledge vs. Name-Based Reasoning in Unsupervised QA
Nina Poerner, Ulli Waltinger, and Hinrich Schütze. 2019 · 1911
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Placing Search in Context: The Concept Revisited
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, and Eytan Ruppin. 2002 · 2002
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Visualizing Data using t-SNE
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
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Software Framework for Topic Modelling with Large Corpora
Radim Řehůřek and Petr Sojka. 2010 · 2010
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Cython: The Best of Both Worlds
Stefan Behnel, Robert Bradshaw, Craig Citro, Lisandro Dalcin, Dag Sverre Seljebotn, and Kurt Smith. 2011 · 2011
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KORE: Keyphrase Overlap Relatedness for Entity Disambiguation
Johannes Hoffart, Stephan Seufert, Dat Ba Nguyen, Martin Theobald, and Gerhard Weikum. 2012 · 2012
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Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Greg Corrado, Kai Chen, and Jeffrey Dean. 2013a · 2013
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Knowledge Graph and Text Jointly Embedding
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
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SimLex-999: Evaluating Semantic Models with Genuine Similarity Estimation
Felix Hill, Roi Reichart, and Anna Korhonen. 2015 · 2015
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Entity Hierarchy Embedding
Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, and Eric Xing. 2015 · 2015
Earlier work this paper cites.
Learning Entity and Relation Embeddings for Knowledge Graph Completion
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
Cited alongside, same era.
Corpus-level Fine-grained Entity Typing Using Contextual Information
Yadollah Yaghoobzadeh and Hinrich Schutze. 2015 · 2015
Cited alongside, same era.
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, and Katia Sycara. 2016 · 2016
Cited alongside, same era.
Cross-lingual Wikification Using Multilingual Embeddings
Chen-Tse Tsai and Dan Roth. 2016 · 2016
Cited alongside, same era.
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, and Yoshiyasu Takefuji. 2016 · 2016
Cited alongside, same era.
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction
A Hybrid Approach to Paraphrase Detection
Phuc H. Duong, Hien T. Nguyen, Hieu N. Duong, Khoa Ngo, and Dat Ngo. 2019 · 2018
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, and James Melville. 2018 · 2018
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RDF2Vec: RDF Graph Embeddings and Their Applications
Petar Ristoski, Jessica Rosati, Tommaso Di Noia, Renato De Leone, and Heiko Paulheim. 2018 · 2018
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A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles
Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, and Kentaro Inui. 2018 · 2018
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Unicode Text Segmentation
Mark Davis. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, and others. 2017 · 2017
Cited alongside, same era.
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
Cited alongside, same era.
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding
Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, and Juanzi Li. 2017 · 2017
Cited alongside, same era.
Named Entity Disambiguation for Noisy Text
Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, and Omer Levy. 2017 · 2017
Cited alongside, same era.
Deep Joint Entity Disambiguation with Local Neural Attention
Octavian-Eugen Ganea and Thomas Hofmann. 2017 · 2017
Cited alongside, same era.
Segment-Level Neural Conditional Random Fields for Named Entity Recognition
Motoki Sato, Hiroyuki Shindo, Ikuya Yamada, and Yuji Matsumoto. 2017 · 2017
Cited alongside, same era.
Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, and Yoshiyasu Takefuji. 2017 · 2017
Cited alongside, same era.
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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LSI2 UNED at eHealth-KD Challenge 2019: A Few-shot Learning Model for Knowledge Discovery from eHealth Documents
Alicia Lara-Clares and Ana Garcia-Serrano. 2019 · 2019
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Movie Plot Analysis via Turning Point Identification
Pinelopi Papalampidi, Frank Keller, and Mirella Lapata. 2019 · 2019
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Knowledge Enhanced Contextual Word Representations
Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A. Smith. 2019 · 2019
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An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, and Faisal Shafait. 2019 · 2019
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Neural Attentive Bag-of-Entities Model for Text Classification
Ikuya Yamada and Hiroyuki Shindo. 2019 · 2019
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ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019 · 2019
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