暂无分享,去创建一个
Pascal Vincent | Yoshua Bengio | Edward Grefenstette | Dzmitry Bahdanau | Stanislaw Jastrzebski | Tom Bosc | Yoshua Bengio | Pascal Vincent | Dzmitry Bahdanau | Stanislaw Jastrzebski | Edward Grefenstette | Tom Bosc
[1] Yuen Ren Chao,et al. Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology , 1950 .
[2] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[3] Jürgen Schmidhuber,et al. Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks , 1992, Neural Computation.
[4] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[5] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[6] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[7] E. Loper,et al. NLTK: The Natural Language Toolkit , 2006, ACL 2006.
[8] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[9] Yoshua Bengio,et al. Zero-data Learning of New Tasks , 2008, AAAI.
[10] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[11] Alessandro Lenci,et al. How we BLESSed distributional semantic evaluation , 2011, GEMS.
[12] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[13] Thorsten Brants,et al. One billion word benchmark for measuring progress in statistical language modeling , 2013, INTERSPEECH.
[14] Gang Wang,et al. RC-NET: A General Framework for Incorporating Knowledge into Word Representations , 2014, CIKM.
[15] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[16] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[17] Yoshua Bengio,et al. Blocks and Fuel: Frameworks for deep learning , 2015, ArXiv.
[18] Wang Ling,et al. Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation , 2015, EMNLP.
[19] Christopher Potts,et al. A large annotated corpus for learning natural language inference , 2015, EMNLP.
[20] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[21] Zhen-Hua Ling,et al. Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference , 2016, ArXiv.
[22] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[23] Louise Deléger,et al. Overview of the Bacteria Biotope Task at BioNLP Shared Task 2016 , 2016, BioNLP.
[24] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[25] David Grangier,et al. Vocabulary Selection Strategies for Neural Machine Translation , 2016, ArXiv.
[26] Jackie Chi Kit Cheung,et al. Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data , 2016, ACL.
[27] Yoshua Bengio,et al. Learning to Understand Phrases by Embedding the Dictionary , 2015, TACL.
[28] Zhiguo Wang,et al. Vocabulary Manipulation for Neural Machine Translation , 2016, ACL.
[29] Jackie Chi Kit Cheung,et al. World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions , 2017, EMNLP.
[30] Ruslan Salakhutdinov,et al. A Comparative Study of Word Embeddings for Reading Comprehension , 2017, ArXiv.
[31] Quoc V. Le,et al. HyperNetworks , 2016, ICLR.
[32] Dirk Weissenborn,et al. Reading Twice for Natural Language Understanding , 2017, ArXiv.
[33] Richard Socher,et al. Dynamic Coattention Networks For Question Answering , 2016, ICLR.
[34] Chris Dyer,et al. Dynamic Integration of Background Knowledge in Neural NLU Systems , 2017, 1706.02596.
[35] Samuel R. Bowman,et al. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference , 2017, NAACL.