Christopher Potts
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Syntax, Semantics, Linguistic Variation, Speech and dialogue systems
Most-Cited Works
- → Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank(2013)6,670 cited
- → A large annotated corpus for learning natural language inference(2015)3,414 cited
- Learning Word Vectors for Sentiment Analysis(2011)
- → On the Opportunities and Risks of Foundation Models(2021)2,137 cited
- → The Logic of Conventional Implicatures(2004)1,302 cited
- → A logic for conventional implicatures(2004)910 cited
- → The expressive dimension(2007)737 cited
- → Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models(2022)548 cited
- → Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations(2021)396 cited