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[1] Tim Weninger,et al. ProjE: Embedding Projection for Knowledge Graph Completion , 2016, AAAI.
[2] Christiane Fellbaum,et al. Challenges for a multilingual wordnet , 2012, Lang. Resour. Evaluation.
[3] Hans-Peter Kriegel,et al. A Three-Way Model for Collective Learning on Multi-Relational Data , 2011, ICML.
[4] Danqi Chen,et al. Observed versus latent features for knowledge base and text inference , 2015, CVSC.
[5] Wenjie Fu,et al. Recovering temporally rewiring networks: a model-based approach , 2007, ICML '07.
[6] Kevin Duh,et al. DyNet: The Dynamic Neural Network Toolkit , 2017, ArXiv.
[7] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[8] Wei Tang,et al. Supervised Link Prediction Using Multiple Sources , 2010, 2010 IEEE International Conference on Data Mining.
[9] Andrew McCallum,et al. Relation Extraction with Matrix Factorization and Universal Schemas , 2013, NAACL.
[10] Jacob Eisenstein,et al. Mimicking Word Embeddings using Subword RNNs , 2017, EMNLP.
[11] Mariano Sigman,et al. Global organization of the Wordnet lexicon , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[12] D. J. Strauss,et al. Pseudolikelihood Estimation for Social Networks , 1990 .
[13] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[14] Mathieu Lafourcade,et al. Making people play for Lexical Acquisition with the JeuxDeMots prototype , 2007 .
[15] Bruce A. Desmarais,et al. Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap , 2017, 2017 IEEE International Conference on Big Data (Big Data).
[16] Danqi Chen,et al. Reasoning With Neural Tensor Networks for Knowledge Base Completion , 2013, NIPS.
[17] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[18] Martina Morris,et al. Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects. , 2008, Journal of statistical software.
[19] Pasquale Minervini,et al. Convolutional 2D Knowledge Graph Embeddings , 2017, AAAI.
[20] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[21] Thomas Demeester,et al. Adversarial Sets for Regularising Neural Link Predictors , 2017, UAI.
[22] Michael Gamon,et al. Representing Text for Joint Embedding of Text and Knowledge Bases , 2015, EMNLP.
[23] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[24] Dai Quoc Nguyen,et al. A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network , 2017, NAACL.
[25] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[26] Max Welling,et al. Modeling Relational Data with Graph Convolutional Networks , 2017, ESWC.
[27] John Miller,et al. Traversing Knowledge Graphs in Vector Space , 2015, EMNLP.
[28] Francis Bond,et al. Linking and Extending an Open Multilingual Wordnet , 2013, ACL.
[29] Andrew McCallum,et al. Compositional Vector Space Models for Knowledge Base Inference , 2015, AAAI Spring Symposia.
[30] Jason Weston,et al. A semantic matching energy function for learning with multi-relational data , 2013, Machine Learning.
[31] P. Holland,et al. An Exponential Family of Probability Distributions for Directed Graphs , 1981 .
[32] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[33] Joshua B. Tenenbaum,et al. The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth , 2001, Cogn. Sci..
[34] Hinrich Schütze,et al. AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes , 2015, ACL.
[35] Ben Taskar,et al. Max-Margin Markov Networks , 2003, NIPS.
[36] Tom A. B. Snijders,et al. Markov Chain Monte Carlo Estimation of Exponential Random Graph Models , 2002, J. Soc. Struct..