I enjoy research in machine learning, natural language processing and computer vision. I'm a Ph.D student in the CS Department at Stanford, advised by Chris Manning and Andrew Ng and supported by the Microsoft Research PhD Fellowship. Previously, I graduated with a MSc in Computer Science from Saarland University and a BSc in Computer Science with a Minor in Linguistics from Leipzig University. Here's a video from ICML 2011 that describes our work on learning language and visual structure. This Wired article talks about our recent sentiment analysis model.

Jul 29

Lecture at the Lisbon Machine Learning School

May 8

Talk at Qualcomm

May 1

Talk at Sentiment Analysis Innovation

Apr 23

Talk at Google Deepmind, London

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Past Updates

Publications

List of papers on Google scholar. Starting 2011, code is available for all my first author conference papers. We did a Deep Learning Tutorial at ACL 2012 and NAACL 2013.

2014

Grounded Compositional Semantics for Finding and Describing Images with Sentences, Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng.
Transactions of the Association for Computational Linguistics (TACL 2014), Presented at ACL 2014.
[ pdf ].

Scaling Short-answer Grading by Combining Peer Assessment with Algorithmic Scoring, Chinmay Kulkarni, Richard Socher, Michael S. Bernstein, Scott R. Klemmer.
2014 ACM Conference on Learning at Scale [ pdf ].

2013

Demonstration: etcml.com - easy text classification with machine learning, Richard Socher, Romain Paulus, Bryan McCann, Kai Sheng Tai, JiaJi Hu, Andrew Y. Ng.
Advances in Neural Information Processing Systems (NIPS 2013). [ Website to easily train and share text classifiers; Press: GigaOM, Stanford ]

Reasoning With Neural Tensor Networks for Knowledge Base Completion, Richard Socher*, Danqi Chen*, Christopher D. Manning, Andrew Y. Ng.
Advances in Neural Information Processing Systems (NIPS 2013). [ pdf, website ]

Zero-Shot Learning Through Cross-Modal Transfer, Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng.
Advances in Neural Information Processing Systems (NIPS 2013). [ pdf, website ]

Grounded Compositional Semantics for Finding and Describing Images with Sentences, Richard Socher, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng.
Deep Learning Workshop at NIPS 2013 (see TACL 2014 version)

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Chris Manning, Andrew Ng and Chris Potts.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2013, Oral). [ pdf, Website with Live Demo and Downloads; Press: Stanford release, Wired, Boston Globe Related Kaggle Competition ];

Bilingual Word Embeddings for Phrase-Based Machine Translation, Will Zou, Richard Socher, Daniel Cer and Christopher Manning.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2013, Short). [ pdf ]

Parsing with Compositional Vector Grammars, Richard Socher, John Bauer, Christopher D. Manning and Andrew Y. Ng.
Association for Computational Linguistics 2013 Conference (ACL 2013). [ pdf , website ]

Better Word Representations with Recursive Neural Networks for Morphology, Thang Luong, Richard Socher, Christopher D. Manning.
Conference on Computational Natural Language Learning (CoNLL 2013). [ pdf ]

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors, Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng.
International Conference on Learning Representations (ICLR 2013, Workshop Track). [ pdf, website ]

Zero-Shot Learning Through Cross-Modal Transfer, Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng.
International Conference on Learning Representations (ICLR 2013, Workshop Track, Oral). [ pdf, website ]

2012

Convolutional-Recursive Deep Learning for 3D Object Classification, Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning and Andrew Y. Ng.
Advances in Neural Information Processing Systems (NIPS 2012). [ pdf, website ]

Semantic Compositionality through Recursive Matrix-Vector Spaces, Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2012, Oral). [ pdf, website ]

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 2012 Conference (ACL 2012). [ pdf, website ]

Stanford’s System for Parsing the English Web, 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). [ pdf, bib ]

2011

Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection, Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning.
Advances in Neural Information Processing Systems (NIPS 2011). [ pdf, website ]

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions, Richard Socher, Jeffrey Pennington, Eric Huang, Andrew Y. Ng, and Christopher D. Manning.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2011, Oral). [ pdf, website ]

Parsing Natural Scenes and Natural Language with Recursive Neural Networks, Richard Socher, Cliff Lin, Andrew Y. Ng, and Christopher D. Manning.
The 28th International Conference on Machine Learning (ICML 2011). Distinguished Application Paper Award. [ pdf, video, website ]

Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities, Richard Socher, Andrew Maas, Christopher D. Manning.
Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011). [ pdf ]

2010

Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora, Richard Socher and Li Fei-Fei.
IEEE Computer Vision and Pattern Recognition (CVPR 2010). [ pdf ]

2009

A Bayesian analysis of dynamics in free recall, Richard Socher, Sam J. Gershman, Adler Perotte, Per Sederberg, Ken A. Norman, and David M. Blei.
Advances in Neural Information Processing Systems 22 (NIPS 2009). [ pdf ]

Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework, Li-Jia Li, Richard Socher, and Li Fei-Fei.
IEEE Computer Vision and Pattern Recognition (CVPR 2009, Oral). [ pdf ]

ImageNet: A Large-Scale Hierarchical Image Database, Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei.
IEEE Computer Vision and Pattern Recognition (CVPR 2009). [ pdf ]

Before

A Learning Based Hierarchical Model for Vessel Segmentation, Richard Socher, Adrian Barbu, and Dorin Comaniciu.
In 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008, Oral). [ pdf ]

Combining Contexts in Lexicon Learning for Semantic Parsing, Richard Socher, Chris Biemann, and Rainer Osswald.
Proceedings of NODALIDA 2007, Tartu, Estonia. [ pdf ]

Theses

Masters Thesis: A Learning-Based Hierarchical Model for Vessel Segmentation, Saarland University, 2008, grade 1.0 A+

Bachelor Thesis: Automatic Extension of Semantic Lexicons with a Bootstrapping Algorithm, Leipzig University, 2006, grade 1.0 A+