Multilingual Distributed Representations without Word Alignment
暂无分享,去创建一个
[1] J. R. Firth,et al. A Synopsis of Linguistic Theory, 1930-1955 , 1957 .
[2] P. Bloom. Précis of How Children Learn the Meanings of Words , 2001, Behavioral and Brain Sciences.
[3] Michael Collins,et al. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms , 2002, EMNLP.
[4] Deb Roy,et al. Grounded spoken language acquisition: experiments in word learning , 2003, IEEE Trans. Multim..
[5] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[6] Mirella Lapata,et al. Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora , 2007, ACL.
[7] Stephen Clark,et al. Combining Symbolic and Distributional Models of Meaning , 2007, AAAI Spring Symposium: Quantum Interaction.
[8] Dan Klein,et al. Learning Bilingual Lexicons from Monolingual Corpora , 2008, ACL.
[9] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[10] Mirella Lapata,et al. Vector-based Models of Semantic Composition , 2008, ACL.
[11] Katrin Erk,et al. A Structured Vector Space Model for Word Meaning in Context , 2008, EMNLP.
[12] Stephen Clark,et al. Mathematical Foundations for a Compositional Distributional Model of Meaning , 2010, ArXiv.
[13] Marco Baroni,et al. Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space , 2010, EMNLP.
[14] Patrick Pantel,et al. From Frequency to Meaning: Vector Space Models of Semantics , 2010, J. Artif. Intell. Res..
[15] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[16] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[17] Mehrnoosh Sadrzadeh,et al. Experimental Support for a Categorical Compositional Distributional Model of Meaning , 2011, EMNLP.
[18] Jeffrey Pennington,et al. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions , 2011, EMNLP.
[19] Andrew Y. Ng,et al. Semantic Compositionality through Recursive Matrix-Vector Spaces , 2012, EMNLP.
[20] Nitish Srivastava,et al. Multimodal learning with deep Boltzmann machines , 2012, J. Mach. Learn. Res..
[21] Ivan Titov,et al. Inducing Crosslingual Distributed Representations of Words , 2012, COLING.
[22] Quoc V. Le,et al. Exploiting Similarities among Languages for Machine Translation , 2013, ArXiv.
[23] Christopher D. Manning,et al. Bilingual Word Embeddings for Phrase-Based Machine Translation , 2013, EMNLP.
[24] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[25] Sarath Chandar. Multilingual Deep Learning , 2013 .
[26] Phil Blunsom,et al. The Role of Syntax in Vector Space Models of Compositional Semantics , 2013, ACL.
[27] Phil Blunsom,et al. Recurrent Convolutional Neural Networks for Discourse Compositionality , 2013, CVSM@ACL.
[28] Hugo Larochelle,et al. Learning Multilingual Word Representations using a Bag-of-Words Autoencoder , 2014, ArXiv.
[29] Vladimir Eidelman,et al. cdec: A Decoder, Alignment, and Learning Framework for Finite- State and Context-Free Translation Models , 2010, ACL.
[30] Tetsunori Kobayashi,et al. Multiscale recurrent neural network based language model , 2015, INTERSPEECH.