Cs224n Natural Language Processing With Deep Learning

Deep Learning for Natural Language ProcessingStatistical Machine TranslationDeep Learning for Coders with fastai and PyTorchDeep Learning in Natural Language ProcessingNatural Language Processing with PythonNeural Network Methods in Natural Language ProcessingBuilding an Enterprise ChatbotSupervised Machine Learning for Text Analysis in RNatural Language Processing and Information SystemsDependency ParsingIntroduction to Natural Language ProcessingNew Developments in Parsing TechnologySpeech & Language ProcessingStatistical Methods for Speech RecognitionDeep Learning for Vision SystemsDeep LearningData Science for Economics and FinanceNeural Machine TranslationDeep Learning for Natural Language ProcessingCombating Fake News with Computational Intelligence TechniquesIntroduction to Information RetrievalNatural Language Processing with PyTorchNatural Language Processing in ActionEmbeddings in Natural Language ProcessingAnaphora ResolutionCross-Lingual Word EmbeddingsIntroduction to Deep LearningComputing with DataLearning Deep LearningNatural Language Processing and Chinese ComputingDeep Learning for Natural Language ProcessingLinguistic Fundamentals for Natural Language ProcessingPractical Natural Language ProcessingApplied Natural Language Processing with PythonThe Big Book of Nlp, Expanded: 350+ Techniques, Patterns & Strategies of Neuro Linguistic ProgrammingFoundations of Statistical Natural Language ProcessingAuthorship AttributionComputer Information Systems and Industrial ManagementNatural Language Processing and Information SystemsNeural Networks for Natural Language Processing

[1]  Yoshua Bengio,et al.  Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.

[2]  Xin Rong,et al.  word2vec Parameter Learning Explained , 2014, ArXiv.

[3]  Martin Wattenberg,et al.  Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation , 2016, TACL.

[4]  Rico Sennrich,et al.  Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.

[5]  Alexander M. Rush,et al.  Character-Aware Neural Language Models , 2015, AAAI.

[6]  Quoc V. Le,et al.  Sequence to Sequence Learning with Neural Networks , 2014, NIPS.

[7]  Wang Ling,et al.  Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation , 2015, EMNLP.

[8]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[9]  Jason Weston,et al.  Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..

[10]  Yoshua Bengio,et al.  Hierarchical Probabilistic Neural Network Language Model , 2005, AISTATS.

[11]  Christopher D. Manning,et al.  Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models , 2016, ACL.

[12]  Yoshua Bengio,et al.  A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..

[13]  Yoshua Bengio,et al.  On Using Very Large Target Vocabulary for Neural Machine Translation , 2014, ACL.

[14]  Noah A. Smith,et al.  Dependency Parsing , 2009, Encyclopedia of Artificial Intelligence.