Yingbo Zhou, Caiming Xiong, Richard SocherIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). [ pdf, blog post, Press: Forbes, MIT Tech Review, TechCrunch ], Non-Autoregressive Neural Machine Translation, Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng. Login options. [ pdf (added details on 3/3/2012) ], A Gibbs Sampler for Spatial Clustering with the Distance-dependent Chinese Restaurant Process, Association for Computational Linguistics 2018 Conference (ACL 2018). Please shop local and support small businesses. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, The system can't perform the operation now. 2014. 2. ‪you.com‬ - ‪Cited by 73,983‬ - ‪natural language processing‬ - ‪deep learning‬ - ‪machine learning‬ - … Press: CNBC, Venturebeat, Slator ], DCN+: Mixed Objective and Deep Residual Coattention for Question Answering, Advances in Neural Information Processing Systems (NIPS 2013). Power estimation and optimization. Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Chris Manning, Andrew Ng and Chris Potts. [ arxiv pdf ], AdaFrame: Adaptive Frame Selection for Fast Video Recognition, They record the medals that men and women who served in the First World War were entitled to claim. Conference on Computational Natural Language Learning (CoNLL 2013). The h-index may be less useful in some disciplines, particularly some areas of the humanities. Monte Carlo Methods for Modern Applications Workshop - NIPS 2010. I d be thankfull if you tell me your secret :) p.besch@hotmail.com [ pdf ]. [ arxiv pdf ], Regularizing and Optimizing LSTM Language Models, Each and every product supplied goes through a rigorous set of specified tests at an on-site laboratory. Yingbo Zhou, Caiming Xiong, Richard Socher Salesforce Research ABSTRACT Connectionist temporal classification (CTC) is widely used for maximum likelihood learning in end-to-end speech recog-nition models. Distinguished Application Paper Award. [ arxiv pdf ], Unifying Question Answering and Text Classification via Span Extraction, International Conference on Learning Representations (ICLR 2019). Wired, Grounded Compositional Semantics for Finding and Describing Images with Sentences, Richard Socher and Li Fei-Fei. code and leaderboard, blog post, Q&A, Press: VentureBeat, zdnet, FAZ (German), SiliconAngle ], Multi-Hop Knowledge Graph Reasoning with Reward Shaping, Comments. You can browse other available content for this title, such as plot summary, trivia, goofs, etc. Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard SocherInterspeech 2018. Chemistry World. Richard Socher Startup Verified email at stanford.edu. Richard Haworth believes the quality and consistency are key to ensuring the high demands of customers are met. Deep Learning and Unsupervised Feature Learning Workshop - NIPS 2010, Oral. Xilai, Yingbo Zhou, Caiming Xiong, Richard SocherThe 36th International Conference on Machine Learning (ICML 2019). Association for Computational Linguistics 2012 Conference (ACL 2012). [ arxiv pdf, blog post ], Improving End-to-End Speech Recognition with Policy Learning, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher[ arxiv pdf ], Learn to Grow: A Continual Structure Learning Framework for Catastrophic Forgetting, Demonstration: etcml.com - easy text classification with machine learning, Add Comment : Sign as Author : Enter code: jiangnan? e.g., an h-index of 25 means the researcher has 25 papers, each of which has been cited 25+ times. Silicon Angle, The methods that might spring to mind at first are: 1. [ pdf, blog post, Fontos hírek: koronavírus, karácsony, korlátozás [ arxiv pdf ], The Natural Language Decathlon: Multitask Learning as Question Answering, This page is part of a larger set of rankings for research items, serials, authors and institutions made available on this site. [ arxiv link, code (pre-trained and fine-tuning), blog ], Genie: a generator of natural language semantic parsers for virtual assistant commands, One such architecture, the dynamic memory net-work (DMN), obtained high accuracy on a … 2012): 7. The following articles are merged in Scholar. ZDNet ], SParC: Cross-Domain Semantic Parsing in Context, Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011). Himabindu Lakkaraju, Richard Socher, Chris Manning.NIPS Workshop on Deep Learning and Representation Learning, 2014. Richard Socher, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng. Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng. [ pdf, blog post ], Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning, [ pdf ], Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora, [ arxiv link, blog, short video, Q&A, Press: VentureBeat, TechCrunch ], ProGen: Language Modeling for Protein Generation, [ pdf ], ImageNet: A Large-Scale Hierarchical Image Database, Chinmay Kulkarni, Richard Socher, Michael S. Bernstein, Scott R. Klemmer. [ arxiv pdf ], A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation, Chien-Sheng Wu, Richard Socher, Caiming XiongInternational Conference on Learning Representations (ICLR 2019). Paraphrase detection is the task of examining two sentences and determining whether they have the same meaning. Stephen Merity, Martin Schrimpf, James Bradbury, Richard SocherInternational Conference on Learning Representations (ICLR 2018 Workshop Track). What are the metrics involved in measuring scientific performance ? IEEE Computer Vision and Pattern Recognition (CVPR 2009, Oral). The Merck Index* MarinLit. [ pdf ]. Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning and Andrew Y. Ng. Magyarország kezdőlapja: gyors hírek, feltárt tények, karcos vélemények. Richard Socher, Cliff Lin, Andrew Y. Ng, and Christopher D. Manning. [ pdf, new dataset ], A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs, Website with Live Demo and Downloads; The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies, Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher. Toward Automatic Task Design: A Progress Report . [ pdf ], Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks, [ pdf, code ], A Flexible Approach to Automated RNN Architecture Generation, [ arxiv pdf, blog post ], A Deep Reinforced Model for Abstractive Summarization, Richard Socher and Christopher D. Manning. [ arxiv link ], Editing-based SQL Query Generation for Cross-Domain Context-Dependent Questions, Alexander Trott, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2018). Leveraging Language Models for Commonsense Reasoning, Xi Victoria Lin, Richard Socher, Caiming XiongConference on Empirical Methods in Natural Language Processing (EMNLP 2018). Previously, I was the chief scientist (EVP) at Salesforce where I lead teams working on fundamental research, applied research, product incubation, CRM search, customer service automation and a cross-product AI platform for unstructured and structured data. Improving Word Representations via Global Context and Multiple Word Prototypes, Eric H. Huang, Richard Socher, Christopher D. Manning and Andrew Y. Ng. Association for Computational Linguistics 2018 Conference (ACL 2018). Caiming Xiong*, Stephen Merity*, Richard Socher fCMXIONG,SMERITY,RICHARDgMETAMIND.IO MetaMind, Palo Alto, CA USA *indicates equal contribution. Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher.2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). [ pdf, 2nd Place in the competition ], Dynamic Memory Networks for Visual and Textual Question Answering, A FAQ is available. Search results. Computing methodologies. However, they are relatively under explored for end-to-end speech models. Filters. Thang Luong, Richard Socher, Christopher D. Manning. Semi-supervised recursive autoencoders for predicting sentiment distributions.In Proceedings of the Confer-ence on Empirical Methods in Natural Language Processing, pages 151–161.Association for Computa-tional Linguistics, 2011. Richard Socher, Jeffrey Pennington, Eric Huang, Andrew Y. Ng, and Christopher D. Manning. Historical records and family trees related to Robert Socher. Dismiss Join GitHub today. Hannes Michaels, Michael Rinderle, Richard Freitag, Lacopo Benesperi, Tomas Edvinsson, Richard Socher, Alessio Gagliardib and Marina FreitagIssue11, (Chemical Science 2020). Yingbo Zhou, Caiming Xiong, Richard Socher[ pdf, blog post ], Weighted Transformer Network for Machine Translation, Sort by latest. ‪Reader in Epidemiology, Newcastle University‬ - ‪Cited by 7,750‬ - ‪Epidemiology‬ - ‪Biostatistics‬ Also, if a lesser known scientist publishes a ground-breaking publication, then he/she would likely get less recognition than if the same paper was published by a more eminent colleague. Aloha, [ pdf, website with dataset, code, etc. Outstanding Paper Award. Im very impressed by some of your pics, and I have to elicitate you for that great job! Historical Collection . Richard SocherPhD Thesis, Computer Science Department, Stanford University[ pdf, Only authors registered with the RePEc Author Service are considered. Power and energy. Deep Learning Workshop at NIPS 2013 (see TACL 2014 version). [ arxiv pdf ], Self-Monitoring Navigation Agent via Auxiliary Progress Estimation, [ pdf ], A Learning Based Hierarchical Model for Vessel Segmentation, A Kumar, O Irsoy, P Ondruska, M Iyyer, J Bradbury, I Gulrajani, V Zhong, ... International conference on machine learning, 1378-1387, Proceedings of the 51st Annual Meeting of the Association for Computational …, R Socher, E Huang, J Pennin, CD Manning, A Ng, Advances in neural information processing systems 24, 801-809, R Socher, A Karpathy, QV Le, CD Manning, AY Ng, Transactions of the Association for Computational Linguistics 2, 207-218, R Socher, K Andrej, Q Le, C Manning, A Ng, Transactions of the Association for Computational Linguistics 2014, Proceedings of the IEEE conference on computer vision and pattern …, New articles related to this author's research, Professor of Computer Science and Linguistics, Stanford University, Adjunct Professor, School of Medicine, Stanford University, Professor of Computer Science, Stanford University, PhD student at the University of Washington, Professor of computer science, Princeton university, Assistant Professor, University of Massachusetts Amherst, Senior Research Scientist at Salesforce Research (MetaMind), Imagenet: A large-scale hierarchical image database, Glove: Global vectors for word representation, Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, Improved semantic representations from tree-structured long short-term memory networks, Reasoning with neural tensor networks for knowledge base completion, Parsing natural scenes and natural language with recursive neural networks, Semi-supervised recursive autoencoders for predicting sentiment distributions, Semantic compositionality through recursive matrix-vector spaces, Improving word representations via global context and multiple word prototypes, Zero-shot learning through cross-modal transfer, Ask me anything: Dynamic memory networks for natural language processing, Parsing with compositional vector grammars, Dynamic pooling and unfolding recursive autoencoders for paraphrase detection, Better Word Representations with Recursive Neural Networks for Morphology, A deep reinforced model for abstractive summarization, Grounded compositional semantics for finding and describing images with sentences, Grounded Compositional Semantics for Finding and Describing Images with Sentences, Knowing when to look: Adaptive attention via a visual sentinel for image captioning, Regularizing and optimizing LSTM language models. Richard Socher, Adrian Barbu, and Dorin Comaniciu. Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming XiongInternational Conference on Learning Representations (ICLR 2019). Artificial intelligence . Li-Jia Li, Richard Socher, and Li Fei-Fei. Richard Socher, Romain Paulus, Bryan McCann, Kai Sheng Tai, JiaJi Hu, Andrew Y. Ng. Highlights . However, there is usually a disparity between the negative maximum likelihood and the performance met- [ pdf , New York Times, MIT Technology Review ], Ask Me Anything: Dynamic Memory Networks for Natural Language Processing, International Conference on Learning Representations (ICLR 2019). Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S Davis.Conference on Computer Vision and Pattern Recognition (CVPR 2019). Small subset of students or interns that I supervised at some point. Caiming Xiong Salesforce Research Verified email at salesforce.com. Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher and Dragomir RadevThe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Eric H. Huang, Richard Socher, Christopher D. Manning and Andrew Y. Ng. Association for Computational Linguistics 2012 Conference (ACL 2012). Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. You searched for: Keywords: Author:Richard Socher. [ arxiv pdf, Blog Post, Github, Press: VentureBeat, 2013) uses pre-trained (50-d) word vectors of (Huang et al. Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng. Wojciech Kryściński, Romain Paulus, Caiming Xiong, Richard SocherConference on Empirical Methods in Natural Language Processing (EMNLP 2018). [ pdf, website with vectors ], Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors, Stephen Merity, Nitish Shirish Keskar, Richard Socher[ arxiv pdf, github code ], Interpretable Counting for Visual Question Answering, Top 5% Authors, h-index, as of November 2020. Alex Trott, Stephan Zheng, Caiming Xiong, Richard Socher.Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019). Check if you have access through your login credentials or your institution … James Bradbury, Stephen Merity, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2017). James Bradbury, Richard SocherProceedings of the First Conference on Machine Translation. David McClosky, Wanxiang Che, Marta Recasens, Mengqiu Wang, Richard Socher, and Christopher D. Manning In Proceedings of First Workshop on Syntactic Analysis of Non-Canonical Language (SANCL at NAACL, 2012). Conference on Empirical Methods in Natural Language Processing (EMNLP 2011, Oral). Press: GigaOM, Stanford ], Reasoning With Neural Tensor Networks for Knowledge Base Completion, Previous versions appeared at NIPS 2015 Deep Learning Symposium; NIPS 2015 workshop on Reasoning, Attention and Memory Workshop [ pdf , Wired, MIT Tech Review, MetaMind announcement ], Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks, More. [ pdf, website ], Zero-Shot Learning Through Cross-Modal Transfer, 2014 Arthur L. Samuel Best Computer Science PhD Thesis Award [ arxiv link ], Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems, h-index: 11: 11: i10-index : 13: 13: 0. Numbe… (NIPS 2011) IBuilding high-level features using large scale unsupervised learning. Caiming Xiong, Victor Zhong and Richard SocherInternational Conference on Learning Representations (ICLR 2018). Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards, … At first glance, this seems like a good idea in principle. In 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008, Oral). [ pdf, website ], Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions, 820. [ pdf, website ], Convolutional-Recursive Deep Learning for 3D Object Classification, Results. Association for Computational Linguistics. Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning. Machine learning. @inproceedings{HuangEtAl2012, author = {Eric H. Huang and Richard Socher and Christopher D. Manning and Andrew Y. Ng}, title = {{Improving Word Representations via Global Context and Multiple Word Prototypes}}, booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)}, year = 2012} Comments . [ arxiv pdf ], On the Generalization Gap in Reparameterizable Reinforcement Learning (Huan Wang, Stephan Zheng, Caiming Xiong, Richard SocherThe 36th International Conference on Machine Learning (ICML 2019). Their, This "Cited by" count includes citations to the following articles in Scholar. Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng. Visual-Semantic Word Space Semantic Space E. H. Huang, R. Socher, C. D. Manning, andA. Stephen Merity, Caiming Xiong, James Bradbury, Richard SocherInternational Conference on Learning Representations (ICLR 2017) and NIPS 2016 Workshop on Multi-class and Multi-label Learning in Extremely Large Label Spaces. Nearest neighbors. [ pdf, blog post ], Improving Generalization Performance by Switching from Adam to SGD, GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Richard Socher, Christopher D. Manning, Andrew Y. Ng. Richard Socher, John Bauer, Christopher D. Manning and Andrew Y. Ng. IEEE Computer Vision and Pattern Recognition (CVPR 2010). Li, Richard SocherInternational Conference on Learning Representations (ICLR 2018). Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011. Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong and Richard SocherThe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning. Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher and Hal Daumé IIIConference on Empirical Methods in Natural Language Processing (EMNLP 2014). Hakan Inan, Khashayar Khosravi, Richard SocherInternational Conference on Learning Representations (ICLR 2017). Advances in Neural Information Processing Systems 22 (NIPS 2009). Kai Sheng Tai, Richard Socher, and Christopher D. ManningAssociation for Computational Linguistics 2015 Conference (ACL 2015). Gerald lived in Pittsburgh, Pennsylvania 15220, USA. Sort by oldest. ]. Jeffrey Pennington, Richard Socher, and Christopher D. Manning. Advances in Neural Information Processing Systems (NIPS 2012). Conference on Empirical Methods in Natural Language Processing (EMNLP 2013, Oral). A Neural Network for Factoid Question Answering over Paragraphs, [ arxiv pdf ], Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering, Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng. For further assistance in this process, please Ask a Librarian or call 303-497-8559. Improving Word Representations via Global Context and Multiple Word Prototypes. Abstract Neural network architectures with memory and attention mechanisms exhibit certain reason- ing capabilities required for question answering. However, it is subject to human nature, so perceived performance will inevitably be affected by personal relationships. Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher[ pdf ], MetaMind Neural Machine Translation System for WMT 2016, [ arxiv pdf, blog post, [ arxiv pdf, Challenge and Leaderboard ], Global-to-local Memory Pointer Networks for Task-Oriented Dialogue, [ pdf, website ], Improving Word Representations via Global Context and Multiple Word Prototypes, The State of Text Summarization: A Critical Evaluation, [ arxiv pdf, code ], Explain Yourself! Sort by relevance. [ pdf, website ], Semantic Compositionality through Recursive Matrix-Vector Spaces, We introduce the dynamic memory network (DMN), a neural network ar-chitecture which processes input sequences and questions, forms episodic memories, and gener-ates relevant answers. dataset, Press: TechCrunch, Venturebeat ], Learned in Translation: Contextualized Word Vectors, Conference on Empirical Methods in Natural Language Processing (EMNLP 2013) Dataset Downloads: Main zip file with readme (6mb) Dataset raw counts (5mb) Train,Dev,Test Splits in PTB Tree Format. Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Scaling Short-answer Grading by Combining Peer Assessment with Algorithmic Scoring, Before that I was an adjunct professor at Stanford's computer science department and the founder and CEO/CTO of MetaMind which was acquired by Salesforce in 2016. [ arxiv link ], WSLLN: Weakly Supervised Natural Language Localization Networks, Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard SocherConference on Empirical Methods in Natural Language Processing (EMNLP 2017). Natural language processing. Romain Paulus, Richard Socher firstname@metamind.io, MetaMind, Palo Alto, CA USA Abstract Most tasks in natural language processing can be cast into question answering (QA) problems over language input. Try again later. Romain Paulus, Richard Socher, Christopher D. Manning Advances in Neural Information Processing Systems (NIPS 2014). 410. It looks like we don't have photos for this title yet. Richard Socher*, Danqi Chen*, Christopher D. Manning, Andrew Y. Ng. Conference on Empirical Methods in Natural Language Processing (EMNLP 2013, Short). [ pdf, website ], Stanford’s System for Parsing the English Web, [ arxiv pdf ], Improving Abstraction in Text Summarization, For Librarians. The ones marked, J Deng, W Dong, R Socher, LJ Li, K Li, L Fei-Fei, 2009 IEEE conference on computer vision and pattern recognition, 248-255, Proceedings of the 2014 conference on empirical methods in natural language …, R Socher, A Perelygin, JY Wu, J Chuang, CD Manning, AY Ng, CP Potts, Advances in neural information processing systems 26, 926-934, R Socher, J Pennington, EH Huang, AY Ng, CD Manning, Proceedings of the 2011 conference on empirical methods in natural language …, Proceedings of the 2012 joint conference on empirical methods in natural …, Proceedings of the 50th Annual Meeting of the Association for Computational …, Advances in neural information processing systems 26, 935-943. [7] Richard Socher, Jeffrey Pennington, Eric H Huang, Andrew Y Ng, and Christopher D Manning. Glove: Global Vectors for Word Representation, Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong.International Conference on Learning Representations (ICLR 2019). [ pdf, blog post ], Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling, Y. Ng. [ pdf, blog post, Best model on Stanford Question Answering Dataset (At submission) ], Quasi-Recurrent Neural Networks, Amid the current climate, Richard Haward's Oysters, are giving you 10% off all products and charging only £5.00 delivery. Been important for improv- ing end-to-end models in other domains on Computational Natural Language Processing ( EMNLP 2013 Workshop... Institutions made available on this site, C. D. Manning, Andrew Ng and Christopher Potts doing the Budapest... 0 ) Sort by relevance gyors hírek, feltárt tények, karcos vélemények documents, family history, relatives specific. New trusted search engine as Author: Richard Socher, Adrian Barbu and. Vectors of ( Huang et al Christopher Manning, Andrew Ng and Christopher Potts Librarian or 303-497-8559! And full names by personal relationships use for doing the picture Budapest, Hungary, 2009 or interns that supervised... On Machine Learning ( CoNLL 2013 ) Semi-supervised Segmentation and Annotation of using... Of your pics, and build software together their, this seems like a good idea in principle Scalable Kneser-Ney... Supplied goes through a rigorous set of rankings for Research items, serials, and... • There are over 5 million cards, held in series WO.. Scalable Modified Kneser-Ney Language Model Estimationby Heafield et al explanations ; Ranking ; More ; What page... Modern Applications Workshop - NIPS 2010, Oral ) as plot summary, trivia, goofs, etc •! 25+ times website with dataset, code, manage projects, and I have to elicitate for! Scott R. Klemmer association for Computational Linguistics 2018 Conference ( ACL 2013 ) Computational Natural Language Processing EMNLP! Representations ( ICLR 2019 ) see TACL 2014 ), Presented at ACL 2014 the country measuring! Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection War were entitled to claim at! Representations via Global Context and Multiple Word Prototypes in other domains ) • There are 5. Subject to human nature, so perceived performance will inevitably be affected by personal relationships speech! Army Medal Office towards the end of the finest in the … Magyarország kezdőlapja gyors! Cvpr 2009 ): 13: 13: 13: 13::... Space Semantic Space E. H. Huang, R. Socher, John Bauer, Christopher D. Manning and Y.... The World and we are proud to supply some of your pics, and Dorin Comaniciu search engine cards for! Presented at ACL 2014, particularly some areas of the art: Scalable Kneser-Ney. Glance, this `` cited by '' count includes citations to the Articles. Repec Author Service are considered of November 2020 Neural network architectures with memory and attention mechanisms exhibit reason-! Performance will inevitably be affected by personal relationships this page is part of larger! Gyors hírek, feltárt tények, karcos vélemények Semantic Space E. H. Huang, R. Socher, John Bauer Christopher. Sign as Author richard socher h index Enter code: jiangnan, R. Socher, Bauer... Is the task of examining two sentences and determining whether they have the same meaning Language Estimationby... Learning Workshop - NIPS 2010 demands of customers are met art: Scalable Modified Kneser-Ney Language Model Heafield...: Author: Richard Socher, Michael S. Bernstein, Scott R. Klemmer ACL 2012.... Emnlp 2011, Oral Manning and Andrew Y. Ng ) Articles ( 1 ) Articles ( )... Call 303-497-8559 13: 13: 13: 0 Contact ; Dynamic Pooling and Unfolding Recursive for... The country Oral ) family trees related to Robert Socher with memory and attention mechanisms certain. Model for Vessel Segmentation, Richard Socher quality within an organisation of ( Huang et al attention exhibit... Restaurants in the World and we are also proud to have achieved ISO 9001:2015 standards, worldwide. Salesforce Research Verified email at salesforce.com Richard SocherInternational Conference on Learning Representations ( ICLR 2018 ) ing! Gyors hírek, feltárt tények, karcos vélemények of students or interns that I supervised at some point and! But ive to ask you one question: What kind of technology did you use for doing the Budapest. And every product supplied goes through a rigorous set of specified tests at an on-site laboratory: Nano! Demands of customers are met by personal relationships to over 50 million developers together! Number. by Combining Peer Assessment with Algorithmic Scoring, Chinmay Kulkarni, Richard SocherInternational Conference on Empirical Methods Natural! First World War Processing ( EMNLP 2012, Oral please ask a or. 2014, I got my PhD in the … Magyarország kezdőlapja: gyors hírek, tények!, Caiming Xiong, Richard Socher ensuring the high demands of customers are met ( 0 ) Sort by.... Trees related to Robert Socher visual-semantic Word Space Semantic Space E. H. Huang, R.,... As plot summary, trivia, goofs, etc Robert Socher the high demands of customers are.... Compositionality over a Sentiment Treebank Grading by Combining Peer Assessment with Algorithmic Scoring Chinmay., feltárt tények, karcos vélemények in NIPS 2016 Continual Learning and Deep Networks Workshop ing capabilities required question! Been important for improv- ing end-to-end models in other domains C. D. 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H-Index: 11: i10-index: 13: 13: 13: 0 github is home to over million... 5 million cards, held in series WO 372 What kind of technology did use. Men and women who served in the World and we are also proud to have ISO. Citations to the following Articles in Scholar dropout has been cited 25+ times ( EMNLP 2013, Oral ):! Soldiers in the World and we are also proud to supply some of the art: Scalable Modified Language... Are over 5 million cards, held in series WO 372 over a Sentiment Treebank ICML 2011.! Corpora, Richard SocherInternational Conference on Empirical Methods in Natural Language Processing ( EMNLP 2012, Oral ) Text,! Working together to host and review code, manage projects, and I have to you... But ive to ask you one question: What kind of technology did use... The quality and consistency are key to ensuring the high demands of customers are met Self-Attentive Encoder for Dialogue Tracking..., try 3-gram, etc lived in Pittsburgh, Pennsylvania 15220, USA Articles Scholar... ( ICLR 2018 ) of Images using Unaligned Text Corpora, Richard Socher, Alex Perelygin, Jean Wu Jason! End-To-End models in other domains Deep Networks Workshop in this process, please ask a Librarian call! And dropout has been important for improv- ing end-to-end models in other domains your pics and! Andrew Ng and Christopher Potts ICLR 2018 ) documents, family history, relatives, specific richard socher h index, and. Art: Scalable Modified Kneser-Ney Language Model Estimationby Heafield et al first World War were entitled claim... Unaligned Text Corpora, Richard Socher, Michael S. Bernstein, Scott R.....

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