A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
暂无分享,去创建一个
[1] John Miller,et al. Traversing Knowledge Graphs in Vector Space , 2015, EMNLP.
[2] Ruslan Salakhutdinov,et al. Linguistic Knowledge as Memory for Recurrent Neural Networks , 2017, ArXiv.
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] Christopher D. Manning,et al. Improving Coreference Resolution by Learning Entity-Level Distributed Representations , 2016, ACL.
[5] Yuchen Zhang,et al. CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes , 2012, EMNLP-CoNLL Shared Task.
[6] Christopher D. Manning,et al. Deep Reinforcement Learning for Mention-Ranking Coreference Models , 2016, EMNLP.
[7] Jason Weston,et al. Tracking the World State with Recurrent Entity Networks , 2016, ICLR.
[8] Jason Weston,et al. End-To-End Memory Networks , 2015, NIPS.
[9] Fei-FeiLi,et al. One-Shot Learning of Object Categories , 2006 .
[10] Alexander M. Rush,et al. Learning Global Features for Coreference Resolution , 2016, NAACL.
[11] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[12] Yann Dauphin,et al. Language Modeling with Gated Convolutional Networks , 2016, ICML.
[13] Wang Ling,et al. Reference-Aware Language Models , 2016, EMNLP.
[14] Ido Dagan,et al. context2vec: Learning Generic Context Embedding with Bidirectional LSTM , 2016, CoNLL.
[15] Mike Schuster,et al. Japanese and Korean voice search , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] Pietro Perona,et al. One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Kenta Oono,et al. Chainer : a Next-Generation Open Source Framework for Deep Learning , 2015 .
[18] Yoshua Bengio,et al. Context-dependent word representation for neural machine translation , 2016, Comput. Speech Lang..
[19] Thorsten Brants,et al. One billion word benchmark for measuring progress in statistical language modeling , 2013, INTERSPEECH.
[20] Yonghui Wu,et al. Exploring the Limits of Language Modeling , 2016, ArXiv.
[21] Hang Li,et al. “ Tony ” DNN Embedding for “ Tony ” Selective Read for “ Tony ” ( a ) Attention-based Encoder-Decoder ( RNNSearch ) ( c ) State Update s 4 SourceVocabulary Softmax Prob , 2016 .
[22] Nicolas Usunier,et al. Improving Neural Language Models with a Continuous Cache , 2016, ICLR.
[23] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[24] Phil Blunsom,et al. Teaching Machines to Read and Comprehend , 2015, NIPS.
[25] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[26] Christof Monz,et al. Recurrent Memory Networks for Language Modeling , 2016, NAACL.
[27] Bowen Zhou,et al. Pointing the Unknown Words , 2016, ACL.
[28] Christopher D. Manning,et al. Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models , 2016, ACL.
[29] Richard Socher,et al. Pointer Sentinel Mixture Models , 2016, ICLR.
[30] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[31] Yejin Choi,et al. Dynamic Entity Representations in Neural Language Models , 2017, EMNLP.
[32] Kyunghyun Cho,et al. Larger-Context Language Modelling with Recurrent Neural Network , 2015, ACL.
[33] Quoc V. Le,et al. Addressing the Rare Word Problem in Neural Machine Translation , 2014, ACL.
[34] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[35] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[36] Jason Weston,et al. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks , 2015, ICLR.
[37] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[38] Naoaki Okazaki,et al. Dynamic Entity Representation with Max-pooling Improves Machine Reading , 2016, NAACL.
[39] Joelle Pineau,et al. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models , 2015, AAAI.
[40] Pascal Vincent,et al. Learning to Compute Word Embeddings On the Fly , 2017, ArXiv.
[41] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[42] Daniel Jurafsky,et al. Do Multi-Sense Embeddings Improve Natural Language Understanding? , 2015, EMNLP.
[43] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[44] Dan Roth,et al. Two Discourse Driven Language Models for Semantics , 2016, ACL.
[45] Alexander M. Rush,et al. Character-Aware Neural Language Models , 2015, AAAI.