Sotabase

Career

· Honorary Doctorate, University of Amsterdam2023–
· Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University2018–
· Director of the Stanford Artificial Intelligence Laboratory (SAIL), Stanford University2018–2025
· Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University2017–
· Professor of Computer Science and Linguistics, Stanford University2012–2016
· Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University2012–
· Associate Professor of Computer Science and Linguistics, Stanford University2006–2012
· Assistant Professor of Computer Science and Linguistics, Stanford University1999–2006
· Lecturer, University of Sydney1996–1999
· Lecturer B / Assistant Professor, Department of Linguistics, University of Sydney1996–1999
· Assistant Professor, Carnegie Mellon University1994–1996
· Assistant Professor, Computational Linguistics Program, Carnegie Mellon University1994–1996
· PhD in Linguistics, Stanford University1994–
· Ph.D. in Linguistics, Stanford University1990–1994
· BA (Hons) in Mathematics, Computer Science, and Linguistics, Australian National University1989–
· B.A. (Hons) in Linguistics, Mathematics, and Computer Science, The Australian National University1984–1989

Publications (781)

GloVe: Global Vectors for Word Representation
Conference on Empirical Methods in Natural Language Processing · 2014
33,924
cited
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Conference on Empirical Methods in Natural Language Processing · 2013
9,147
cited
Effective Approaches to Attention-based Neural Machine Translation
Conference on Empirical Methods in Natural Language Processing · 2015
8,292
cited
The Stanford CoreNLP Natural Language Processing Toolkit
Annual Meeting of the Association for Computational Linguistics · 2014
7,549
cited
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Neural Information Processing Systems · 2023
7,064
cited
Book Reviews: Foundations of Statistical Natural Language Processing
International Conference on Computational Logic · 1999
5,817
cited
On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
A large annotated corpus for learning natural language inference
Conference on Empirical Methods in Natural Language Processing · 2015
4,550
cited
Get To The Point: Summarization with Pointer-Generator Networks
Annual Meeting of the Association for Computational Linguistics · 2017
4,303
cited
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Conference on Empirical Methods in Natural Language Processing · 2018
3,782
cited
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
North American Chapter of the Association for Computational Linguistics · 2003
3,624
cited
Accurate Unlexicalized Parsing
Annual Meeting of the Association for Computational Linguistics · 2003
3,462
cited
Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Annual Meeting of the Association for Computational Linguistics · 2005
3,444
cited
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Annual Meeting of the Association for Computational Linguistics · 2015
3,220
cited
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
Computer Vision and Pattern Recognition · 2019
2,717
cited
Generating Typed Dependency Parses from Phrase Structure Parses
International Conference on Language Resources and Evaluation · 2006
2,657
cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
Reasoning With Neural Tensor Networks for Knowledge Base Completion
Neural Information Processing Systems · 2013
2,059
cited
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Annual Meeting of the Association for Computational Linguistics · 2020
1,935
cited
A Fast and Accurate Dependency Parser using Neural Networks
Conference on Empirical Methods in Natural Language Processing · 2014
1,900
cited
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