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[1] Kai Zheng,et al. Microblog Entity Linking with Social Temporal Context , 2015, SIGMOD Conference.
[2] E. Cambria,et al. Deep Learning--based Text Classification , 2020, ACM Comput. Surv..
[3] Fabian M. Suchanek,et al. A Lightweight Neural Model for Biomedical Entity Linking , 2020, AAAI.
[4] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.
[5] Raphaël Troncy,et al. GERBIL: General Entity Annotator Benchmarking Framework , 2015, WWW.
[6] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[7] Jun Zhao,et al. A Joint Model for Question Answering over Multiple Knowledge Bases , 2016, AAAI.
[8] Yi Tay,et al. Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All , 2018, IEEE Transactions on Knowledge and Data Engineering.
[9] Shuang Chen,et al. Improving Entity Linking by Modeling Latent Entity Type Information , 2020, AAAI.
[10] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[11] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[12] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[13] Larry P. Heck,et al. Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation , 2015, ArXiv.
[14] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[15] Mohammad Sadoghi,et al. Joint Learning of Local and Global Features for Entity Linking via Neural Networks , 2016, COLING.
[16] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[17] Haixun Wang,et al. Probase: a probabilistic taxonomy for text understanding , 2012, SIGMOD Conference.
[18] Ming Zhou,et al. Entity Linking for Queries by Searching Wikipedia Sentences , 2017, EMNLP.
[19] Zhiyuan Liu,et al. Neural Relation Extraction with Selective Attention over Instances , 2016, ACL.
[20] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[21] Omer Levy,et al. Named Entity Disambiguation for Noisy Text , 2017, CoNLL.
[22] Vasudeva Varma,et al. IIIT Hyderabad at TAC 2009 , 2008, TAC.
[23] Sean Monahan,et al. Cross-Lingual Cross-Document Coreference with Entity Linking , 2011, TAC.
[24] Mark Chen,et al. Language Models are Few-Shot Learners , 2020, NeurIPS.
[25] Omer Levy,et al. Dependency-Based Word Embeddings , 2014, ACL.
[26] Dan Klein,et al. Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks , 2016, NAACL.
[27] Yiming Yang,et al. XLNet: Generalized Autoregressive Pretraining for Language Understanding , 2019, NeurIPS.
[28] Ming-Wei Chang,et al. Zero-Shot Entity Linking by Reading Entity Descriptions , 2019, ACL.
[29] Wei Shen,et al. LIEGE:: link entities in web lists with knowledge base , 2012, KDD.
[30] Jiawei Han,et al. Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions , 2015, IEEE Transactions on Knowledge and Data Engineering.
[31] Zhiyuan Liu,et al. Neural Collective Entity Linking , 2018, COLING.
[32] Linmei Hu,et al. Graph neural entity disambiguation , 2020, Knowl. Based Syst..
[33] Zhaochen Guo,et al. Robust named entity disambiguation with random walks , 2018, Semantic Web.
[34] Gerhard Weikum,et al. Robust Disambiguation of Named Entities in Text , 2011, EMNLP.
[35] Gerhard Paass,et al. From names to entities using thematic context distance , 2011, CIKM '11.
[36] Chenliang Li,et al. A Survey on Deep Learning for Named Entity Recognition , 2018, IEEE Transactions on Knowledge and Data Engineering.
[37] Hongyu Guo,et al. Dynamic Graph Convolutional Networks for Entity Linking , 2020, WWW.
[38] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[39] Yueting Zhuang,et al. Learning Dynamic Context Augmentation for Global Entity Linking , 2019, EMNLP.
[40] Michael Ley,et al. DBLP - Some Lessons Learned , 2009, Proc. VLDB Endow..
[41] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[42] Heng Ji,et al. Knowledge Base Population: Successful Approaches and Challenges , 2011, ACL.
[43] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[44] Krisztian Balog,et al. REL: An Entity Linker Standing on the Shoulders of Giants , 2020, SIGIR.
[45] Feng Hou,et al. Improving Entity Linking through Semantic Reinforced Entity Embeddings , 2020, ACL.
[46] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[47] Xiaolong Wang,et al. Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation , 2015, IJCAI.
[48] Yubao Liu,et al. Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning , 2019, IJCAI.
[49] Léon Bottou,et al. The Tradeoffs of Large Scale Learning , 2007, NIPS.
[50] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[51] Wei Shen,et al. LINDEN: linking named entities with knowledge base via semantic knowledge , 2012, WWW.
[52] Guillaume Lample,et al. Neural Architectures for Named Entity Recognition , 2016, NAACL.
[53] Omar Adjali,et al. Multimodal Entity Linking for Tweets , 2020, ECIR.
[54] Greg Durrett,et al. Effective Use of Context in Noisy Entity Linking , 2018, EMNLP.
[55] Jian Su,et al. NUS-I2R: Learning a Combined System for Entity Linking , 2010, TAC.
[56] Fernando Pereira,et al. Collective Entity Resolution with Multi-Focal Attention , 2016, ACL.
[57] Zhaochen Guo,et al. Robust Entity Linking via Random Walks , 2014, CIKM.
[58] Yi Yang,et al. Collective Entity Disambiguation with Structured Gradient Tree Boosting , 2018, NAACL.
[59] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[60] Thomas Hofmann,et al. Deep Joint Entity Disambiguation with Local Neural Attention , 2017, EMNLP.
[61] Hiroyuki Shindo,et al. Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation , 2016, CoNLL.
[62] Mark A. Przybocki,et al. The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation , 2004, LREC.
[63] Ni Lao,et al. Relational retrieval using a combination of path-constrained random walks , 2010, Machine Learning.
[64] Silviu Cucerzan,et al. Large-Scale Named Entity Disambiguation Based on Wikipedia Data , 2007, EMNLP.
[65] Johannes Hoffart,et al. CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata , 2021, EACL.
[66] Houfeng Wang,et al. Learning Entity Representation for Entity Disambiguation , 2013, ACL.
[67] Dominique Ritze,et al. Profiling the Potential of Web Tables for Augmenting Cross-domain Knowledge Bases , 2016, WWW.
[68] Omer Levy,et al. SpanBERT: Improving Pre-training by Representing and Predicting Spans , 2019, TACL.
[69] Thomas Hofmann,et al. End-to-End Neural Entity Linking , 2018, CoNLL.
[70] Zhoujun Li,et al. Named entity disambiguation for questions in community question answering , 2017, Knowl. Based Syst..
[71] Neural Entity Linking: A Survey of Models based on Deep Learning , 2020, ArXiv.
[72] Matthew Michelson,et al. Tweet Disambiguate Entities Retrieve Folksonomy SubTree Step 1 : Discover Categories Generate Topic Profile from SubTrees Step 2 : Discover Profile Topic Profile : “ English Football ” “ World Cup ” , 2010 .
[73] Ivan Titov,et al. Distant Learning for Entity Linking with Automatic Noise Detection , 2019, ACL.
[74] Dunja Mladenic,et al. Entity Resolution in Texts Using Statistical Learning and Ontologies , 2009, ASWC.
[75] Beihong Jin,et al. A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking , 2021, AAAI.
[76] Xiaojie Yuan,et al. Toward Tweet Entity Linking With Heterogeneous Information Networks , 2022, IEEE Transactions on Knowledge and Data Engineering.
[77] Marie-Jean Meurs,et al. Improving Entity Linking using Surface Form Refinement , 2014, LREC.
[78] Sebastian Hellmann,et al. N³ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format , 2014, LREC.
[79] Samuel Broscheit,et al. Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking , 2019, CoNLL.
[80] Michael Granitzer,et al. Robust and Collective Entity Disambiguation through Semantic Embeddings , 2016, SIGIR.
[81] Doug Downey,et al. TabEL: Entity Linking in Web Tables , 2015, SEMWEB.
[82] Olivier Raiman,et al. DeepType: Multilingual Entity Linking by Neural Type System Evolution , 2018, AAAI.
[83] Mei Wang,et al. Deep Visual Domain Adaptation: A Survey , 2018, Neurocomputing.
[84] Zheng Fang,et al. High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking , 2020, WWW.
[85] Massimiliano Ciaramita,et al. A framework for benchmarking entity-annotation systems , 2013, WWW.
[86] Ian H. Witten,et al. Learning to link with wikipedia , 2008, CIKM '08.
[87] Hiroyuki Shindo,et al. Global Entity Disambiguation with Pretrained Contextualized Embeddings of Words and Entities , 2019 .
[88] Xiaojie Yuan,et al. SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks , 2018, IEEE Transactions on Knowledge and Data Engineering.
[89] Xu Chen,et al. Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding , 2017, ACL.
[90] Denilson Barbosa,et al. Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss , 2018, NAACL.
[91] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[92] Xiaoli Z. Fern,et al. Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation , 2019, ArXiv.
[93] Alexander Panchenko,et al. Improving Neural Entity Disambiguation with Graph Embeddings , 2019, ACL.
[94] Leonardo Neves,et al. Multimodal Named Entity Disambiguation for Noisy Social Media Posts , 2018, ACL.
[95] Nicholas Jing Yuan,et al. Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking , 2021, AAAI.
[96] Xiaojie Yuan,et al. Joint Open Knowledge Base Canonicalization and Linking , 2021, SIGMOD Conference.
[97] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[98] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[99] Krisztian Balog,et al. Novel Entity Discovery from Web Tables , 2020, WWW.
[100] Hinrich Schütze,et al. A Piggyback System for Joint Entity Mention Detection and Linking in Web Queries , 2016, WWW.
[101] Gerhard Weikum,et al. WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .
[102] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[103] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[104] Ivan Titov,et al. Improving Entity Linking by Modeling Latent Relations between Mentions , 2018, ACL.
[105] Jason Baldridge,et al. Learning Dense Representations for Entity Retrieval , 2019, CoNLL.
[106] Matteo Pagliardini,et al. Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features , 2017, NAACL.
[107] Zijian Li,et al. KBPearl , 2020, Proc. VLDB Endow..
[108] Ming-Wei Chang,et al. To Link or Not to Link? A Study on End-to-End Tweet Entity Linking , 2013, NAACL.
[109] Yoshua Bengio,et al. Deep Learning of Representations: Looking Forward , 2013, SLSP.
[110] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[111] Gourab Kundu,et al. Neural Cross-Lingual Entity Linking , 2017, AAAI.
[112] Praveen Paritosh,et al. Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.
[113] John A. Hamilton,et al. To Link or Not to Link , 1981 .
[114] Qiang Yang,et al. Attention-Based Multimodal Entity Linking with High-Quality Images , 2021, DASFAA.
[115] Theodoros Rekatsinas,et al. Deep Learning for Entity Matching: A Design Space Exploration , 2018, SIGMOD Conference.
[116] Yasumasa Onoe,et al. Fine-Grained Entity Typing for Domain Independent Entity Linking , 2020, AAAI.
[117] Ivan Titov,et al. Boosting Entity Linking Performance by Leveraging Unlabeled Documents , 2019, ACL.
[118] Wen-tau Yih,et al. Efficient One-Pass End-to-End Entity Linking for Questions , 2020, EMNLP.
[119] Ming Li,et al. Entity Disambiguation by Knowledge and Text Jointly Embedding , 2016, CoNLL.
[120] Yi Tay,et al. NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation , 2017, CIKM.
[121] Heng Ji,et al. Collaborative Ranking: A Case Study on Entity Linking , 2011, EMNLP.
[122] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[123] Giuseppe Ottaviano,et al. Fast and Space-Efficient Entity Linking for Queries , 2015, WSDM.
[124] Yanan Cao,et al. Joint Entity Linking with Deep Reinforcement Learning , 2019, WWW.
[125] Doug Downey,et al. Local and Global Algorithms for Disambiguation to Wikipedia , 2011, ACL.
[126] Gerhard Weikum,et al. KORE: keyphrase overlap relatedness for entity disambiguation , 2012, CIKM.
[127] Luke Zettlemoyer,et al. Zero-shot Entity Linking with Dense Entity Retrieval , 2019, ArXiv.
[128] Alexander M. Rush,et al. Character-Aware Neural Language Models , 2015, AAAI.
[129] Dan Roth,et al. Entity Linking via Joint Encoding of Types, Descriptions, and Context , 2017, EMNLP.
[130] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.