Instances and concepts in distributional space
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[1] Satoshi Sekine,et al. A survey of named entity recognition and classification , 2007 .
[2] Omer Levy,et al. Do Supervised Distributional Methods Really Learn Lexical Inference Relations? , 2015, NAACL.
[3] Ido Dagan,et al. Improving Hypernymy Detection with an Integrated Path-based and Distributional Method , 2016, ACL.
[4] George A. Miller,et al. Squibs and Discussions: WordNet Nouns: Classes and Instances , 2006, CL.
[5] Alessandro Lenci,et al. Identifying hypernyms in distributional semantic spaces , 2012, *SEMEVAL.
[6] Qin Lu,et al. Chasing Hypernyms in Vector Spaces with Entropy , 2014, EACL.
[7] Guillaume Lample,et al. Neural Architectures for Named Entity Recognition , 2016, NAACL.
[8] Ido Dagan,et al. Directional distributional similarity for lexical inference , 2010, Natural Language Engineering.
[9] Ido Dagan,et al. The Distributional Inclusion Hypotheses and Lexical Entailment , 2005, ACL.
[10] Katrin Erk,et al. Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment , 2016, EMNLP.
[11] T. Landauer,et al. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .
[12] Gemma Boleda,et al. Distributional vectors encode referential attributes , 2015, EMNLP.
[13] Deriving Boolean structures from distributional vectors , 2015, Transactions of the Association for Computational Linguistics.
[14] Chu-Ren Huang,et al. What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets , 2016, LREC.
[15] Enrique Alfonse,et al. Distinguishing Concepts and Instances in WordNet , 2002 .
[16] Ramanathan V. Guha,et al. Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project , 1990 .
[17] Gemma Boleda,et al. Inclusive yet Selective: Supervised Distributional Hypernymy Detection , 2014, COLING.
[18] Mark Steedman,et al. Combined Distributional and Logical Semantics , 2013, TACL.
[19] Alessandro Lenci,et al. How we BLESSed distributional semantic evaluation , 2011, GEMS.
[20] Aurélie Herbelot,et al. Building a shared world: mapping distributional to model-theoretic semantic spaces , 2015, EMNLP.
[21] Laura Rimell,et al. Distributional Lexical Entailment by Topic Coherence , 2014, EACL.
[22] Geoffrey E. Hinton. Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems , 1991 .
[23] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[24] J. Fodor,et al. All at sea in semantic space : Churchland on meaning similarity , 1999 .
[25] Raffaella Bernardi,et al. Entailment above the word level in distributional semantics , 2012, EACL.
[26] Katrin Erk,et al. A Flexible, Corpus-Driven Model of Regular and Inverse Selectional Preferences , 2010, CL.
[27] Katrin Erk,et al. Representing Meaning with a Combination of Logical and Distributional Models , 2015, CL.
[28] David R. Dowty,et al. Introduction to Montague semantics , 1980 .
[29] Zhen Wang,et al. Knowledge Graph and Text Jointly Embedding , 2014, EMNLP.
[30] Patrick Pantel,et al. From Frequency to Meaning: Vector Space Models of Semantics , 2010, J. Artif. Intell. Res..
[31] Gemma Boleda,et al. Living a discrete life in a continuous world: Reference with distributed representations , 2017, ArXiv.
[32] David J. Weir,et al. Learning to Distinguish Hypernyms and Co-Hyponyms , 2014, COLING.
[33] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.