Richard Socher

Richard Socher is a person.

• See: Sentiment Analysis, Stanford Named Entity Recognizer System, MetaMind Inc..

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References

• Personal Homepage: http://www.socher.org/
• Google Scholar Author Page http://scholar.google.com/citations?user=FaOcyfMAAAAJ

2018

• (Paulus et al., 2017) ⇒ Romain Paulus, Caiming Xiong, and Richard Socher. (2017). “A Deep Reinforced Model for Abstractive Summarization.” In: Proceedings of ICLR 2018 Conference (ICLR 2018).

2017

• (McCann et al., 2017) ⇒ Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. (2017). “Learned in Translation: Contextualized Word Vectors.” In: Advances in Neural Information Processing Systems.
• (Merity et al., 2017) ⇒ Stephen Merity, Nitish Shirish Keskar, and Richard Socher. (2017). “Regularizing and Optimizing LSTM Language Models.” In: arXiv preprint arXiv:1708.02182.
• (Paulus et al., 2017) ⇒ Romain Paulus, Caiming Xiong, and Richard Socher. (2017). “A Deep Reinforced Model for Abstractive Summarization.” arXiv:1705.04304

2016

• (Merity et al., 2016) ⇒ Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. (2016). “Pointer Sentinel Mixture Models.” In: arXiv preprint arXiv:1609.07843.

2015

• (Kumar et al., 2015) ⇒ Ankit Kumar, Ozan Irsoy, Jonathan Su, James Bradbury, Robert English, Brian Pierce, Peter Ondruska, Ishaan Gulrajani, and Richard Socher. (2015). “Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.” In: arXiv:1506.07285 [cs.CL] Journal.
• (Tai et al., 2015) ⇒ Kai Sheng Tai, Richard Socher, and Christopher D. Manning. (2015). “Improved Semantic Representations from Tree-structured Long Short-term Memory Networks.” In: arXiv preprint arXiv:1503.00075.

2014

• (Pennington et al., 2014) ⇒ Jeffrey Pennington, Richard Socher, and Christopher D. Manning. (2014). “GloVe: Global Vectors for Word Representation.” In: Proceedings of EMNLP 2014.
• (Iyyer et al., 2014) ⇒ Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, and Hal Daumé, III. (2014). “A Neural Network for Factoid Question Answering over Paragraphs.” In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP-2014).

2013

• (Luong et al., 2013) ⇒ Thang Luong, Richard Socher, and Christopher Manning. (2013). “Better Word Representations with Recursive Neural Networks for Morphology.” In: Proceedings of the Seventeenth Conference on Computational Natural Language Learning (CoNLL-2013).

2012

• (Huang et al., 2012) ⇒ Eric H. Huang, Richard Socher, Christopher D. Manning, and Andrew Y. Ng. (2012). “Improving Word Representations via Global Context and Multiple Word Prototypes.” In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012).

2011

• (Socher et al., 2011a) ⇒ Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. (2011). “Semi-supervised Recursive Autoencoders for Predicting Sentiment Distributions.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. ISBN:978-1-937284-11-4
• (Socher et al., 2011b) ⇒ Richard Socher, Eric H. Huang, Jeffrey Pennin, Christopher D. Manning, and Andrew Y. Ng. (2011). “Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection.” In: Advances in Neural Information Processing Systems, pp. 801-809.

2009

• (Deng et al., 2009) ⇒ Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. (2009). “Imagenet: A Large-Scale Hierarchical Image Database.” In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009).

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