Word Sense Representations
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Mohammed Bennamoun | Roberto Togneri | Wei Liu | Lyndon White | Bennamoun | R. Togneri | Lyndon White | Wei Liu
[1] Hinrich Schütze,et al. Automatic Word Sense Discrimination , 1998, Comput. Linguistics.
[2] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[3] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[4] Richard Johansson,et al. Neural context embeddings for automatic discovery of word senses , 2015, VS@HLT-NAACL.
[5] Eneko Agirre,et al. Evaluating and optimizing the parameters of an unsupervised graph-based WSD algorithm , 2006 .
[6] H. Schwenk,et al. Efficient training of large neural networks for language modeling , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[7] Eneko Agirre,et al. Semeval-2007 Task 2 : Evaluating Word Sense Induction and Discrimination , 2007 .
[8] Walter Daelemans,et al. Pattern for Python , 2012, J. Mach. Learn. Res..
[9] Andrew McCallum,et al. Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space , 2014, EMNLP.
[10] Enhong Chen,et al. A Probabilistic Model for Learning Multi-Prototype Word Embeddings , 2014, COLING.
[11] Mohammed Bennamoun,et al. Generating Bags of Words from the Sums of Their Word Embeddings , 2016, CICLing.
[12] Roberto Navigli,et al. SemEval-2007 Task 07: Coarse-Grained English All-Words Task , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).
[13] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[14] Zhiyuan Liu,et al. A Unified Model for Word Sense Representation and Disambiguation , 2014, EMNLP.
[15] Adam Kilgarriff,et al. The Senseval-3 English lexical sample task , 2004, SENSEVAL@ACL.
[16] Patrick Pantel,et al. Discovering word senses from text , 2002, KDD.
[17] Annalina Caputo,et al. An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model , 2014, COLING.
[18] G. Zipf. The meaning-frequency relationship of words. , 1945, The Journal of general psychology.
[19] Simone Paolo Ponzetto,et al. BabelNet: Building a Very Large Multilingual Semantic Network , 2010, ACL.
[20] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[21] Andrew Y. Ng,et al. Improving Word Representations via Global Context and Multiple Word Prototypes , 2012, ACL.
[22] Roberto Navigli,et al. Entity Linking meets Word Sense Disambiguation: a Unified Approach , 2014, TACL.
[23] Ewan Klein,et al. Natural Language Processing with Python , 2009 .
[24] Anton Osokin,et al. Breaking Sticks and Ambiguities with Adaptive Skip-gram , 2015, AISTATS.
[25] Roberto Navigli,et al. SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking , 2015, *SEMEVAL.
[26] Ignacio Iacobacci,et al. SensEmbed: Learning Sense Embeddings for Word and Relational Similarity , 2015, ACL.
[27] Omer Levy,et al. Neural Word Embedding as Implicit Matrix Factorization , 2014, NIPS.
[28] Raymond J. Mooney,et al. Multi-Prototype Vector-Space Models of Word Meaning , 2010, NAACL.
[29] Yuen Ren Chao,et al. Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology , 1950 .
[30] Adam Kilgarriff,et al. How Dominant Is the Commonest Sense of a Word? , 2004, TSD.
[31] Jon M. Kleinberg,et al. An Impossibility Theorem for Clustering , 2002, NIPS.