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Computer Science

D-Index
48
Citations
28343
World Ranking
5998
National Ranking
2699

Overview

Christopher Potts is affiliated with Stanford University in the United States and specializes in the field of computer science. Their research focuses primarily on artificial intelligence, with significant contributions in related subfields including computer vision and pattern recognition, information systems, electrical and electronic engineering, and experimental and cognitive psychology.

The main topics of Christopher Potts's work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Explainable Artificial Intelligence (XAI)
  • Speech and Dialogue Systems
  • Bayesian Modeling and Causal Inference

Christopher Potts has authored and co-authored numerous papers with recent notable publications including:

  • On the Opportunities and Risks of Foundation Models, 2021, arXiv (Cornell University)
  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, 2022, arXiv (Cornell University)
  • ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Sentiment Flow Through Hyperlink Networks, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • A data-driven framework for mapping domains of human neurobiology, 2021, Nature Neuroscience

Their frequent publication venues include:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Proceedings of the International AAAI Conference on Web and Social Media
  • SSRN Electronic Journal

Christopher Potts has collaborated extensively with several researchers including Omar Khattab, Zhengxuan Wu, Atticus Geiger, Christopher D. Manning, and Matei Zaharia.

Best Publications

  • Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

    Richard Socher;Alex Perelygin;Jean Wu;Jason Chuang

  • Learning Word Vectors for Sentiment Analysis

    Andrew L. Maas;Raymond E. Daly;Peter T. Pham;Dan Huang

  • A large annotated corpus for learning natural language inference

    Samuel R. Bowman;Gabor Angeli;Christopher Potts;Christopher D. Manning

  • The logic of conventional implicatures

    Christopher Potts

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • No country for old members: user lifecycle and linguistic change in online communities

    Cristian Danescu-Niculescu-Mizil;Robert West;Dan Jurafsky;Jure Leskovec

  • A computational approach to politeness with application to social factors

    Cristian Danescu-Niculescu-Mizil;Moritz Sudhof;Dan Jurafsky;Jure Leskovec

  • A Fast Unified Model for Parsing and Sentence Understanding

    Samuel R. Bowman;Jon Gauthier;Abhinav Rastogi;Raghav Gupta

  • Presupposition and Implicature

    Christopher Potts

  • Perspective-shifting with appositives and expressives

    Jesse A. Harris;Christopher Potts

  • Harmonic grammar with linear programming: From linear systems to linguistic typology

    Christopher Potts;Joe Pater;Karen Jesney;Rajesh Bhatt

  • THE SYNTAX AND SEMANTICS OF AS-PARENTHETICALS

    Christopher Potts

  • Exploiting Social Network Structure for Person-to-Person Sentiment Analysis

    Robert West;Hristo S. Paskov;Jure Leskovec;Christopher Potts

  • Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness

    Amir Goldberg;Sameer B. Srivastava;V. Govind Manian;William Monroe

  • ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

    Keshav Santhanam;Omar Khattab;Jon Saad-Falcon;Christopher Potts

  • The Pragmatic Values of Evidential Sentences

    Christopher Davis;Christopher Potts;Margaret Speas

  • Conventional Implicatures: A Distinguished Class of Meanings

    Christopher Potts

  • Dynabench: Rethinking Benchmarking in NLP.

    Douwe Kiela;Max Bartolo;Yixin Nie;Divyansh Kaushik

  • Crowdsourcing and language studies: the new generation of linguistic data

    Robert Munro;Steven Bethard;Victor Kuperman;Vicky Tzuyin Lai

  • The Life and Death of Discourse Entities: Identifying Singleton Mentions

    Marta Recasens;Marie-Catherine de Marneffe;Christopher Potts

  • Did it happen? the pragmatic complexity of veridicality assessment

    Marie-Catherine de Marneffe;Christopher D. Manning;Christopher Potts

  • Into the Conventional‐Implicature Dimension

    Christopher Potts

Frequent Co-Authors

Christopher D. Manning
Christopher D. Manning Stanford University
Samuel R. Bowman
Samuel R. Bowman New York University
Noah D. Goodman
Noah D. Goodman Stanford University
Dan Jurafsky
Dan Jurafsky Stanford University
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University
Jure Leskovec
Jure Leskovec Stanford University
Lauri Karttunen
Lauri Karttunen Stanford University
Michael C. Frank
Michael C. Frank Stanford University
Amit Etkin
Amit Etkin Stanford University
Douwe Kiela
Douwe Kiela Stanford University

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