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Computer Science

D-Index
37
Citations
14927
World Ranking
10447
National Ranking
4364

Overview

Alan Ritter is affiliated with the Georgia Institute of Technology in the United States. Their research primarily focuses on the field of Computer Science, with an emphasis on Artificial Intelligence among other subfields. The scope of their work extends into Sociology and Political Science, Computer Vision and Pattern Recognition, Information Systems, and Molecular Biology.

The scientist has contributed extensively to topics including Topic Modeling, Natural Language Processing Techniques, Hate Speech and Cyberbullying Detection, Misinformation and Its Impacts, Multimodal Machine Learning Applications, Text Readability and Simplification, and Biomedical Text Mining and Ontologies.

Publication venues frequently featuring their work include:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among recent papers authored or coauthored by Alan Ritter are the following:

  • "Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts" (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Pre-train or Annotate? Domain Adaptation with a Constrained Budget" (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Can Language Models be Instructed to Protect Personal Information?" (2023), arXiv (Cornell University)
  • "Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game" (2023), arXiv (Cornell University)
  • "Extracting a Knowledge Base of COVID-19 Events from Social Media" (2020), arXiv (Cornell University)

Frequent coauthors collaborating with Alan Ritter include:

  • Wei Xu
  • Tarek Naous
  • Sauvik Das
  • Junmo Kang
  • Ashutosh Baheti

Best Publications

  • Named Entity Recognition in Tweets: An Experimental Study

    Alan Ritter;Sam Clark;Oren Etzioni

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Dan Jurafsky

  • SemEval-2016 Task 4: Sentiment Analysis in Twitter

    Preslav Nakov;Alan Ritter;Sara Rosenthal;Fabrizio Sebastiani

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Adversarial Learning for Neural Dialogue Generation

    Jiwei Li;Will Monroe;Tianlin Shi;Sébastien Jean

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Open domain event extraction from twitter

    Alan Ritter;Oren Etzioni;Sam Clark

  • Data-Driven Response Generation in Social Media

    Alan Ritter;Colin Cherry;William B. Dolan

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Michel Galley

  • Unsupervised Modeling of Twitter Conversations

    Alan Ritter;Colin Cherry;Bill Dolan

  • SemEval-2013 Task 2: Sentiment Analysis in Twitter

    Preslav Nakov;Sara Rosenthal;Zornitsa Kozareva;Veselin Stoyanov

  • Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

    Timothy Baldwin;Marie Catherine de Marneffe;Bo Han;Young-Bum Kim

  • SemEval-2014 Task 9: Sentiment Analysis in Twitter

    Sara Rosenthal;Alan Ritter;Preslav Nakov;Veselin Stoyanov

  • Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data

    Leon Derczynski;Alan Ritter;Sam Clark;Kalina Bontcheva

  • SemEval-2015 Task 10: Sentiment Analysis in Twitter

    Sara Rosenthal;Preslav Nakov;Svetlana Kiritchenko;Saif Mohammad

  • Weakly Supervised User Profile Extraction from Twitter

    Jiwei Li;Alan Ritter;Eduard Hovy

  • A Latent Dirichlet Allocation Method for Selectional Preferences

    Alan Ritter;Oren Etzioni

  • Weakly Supervised Extraction of Computer Security Events from Twitter

    Alan Ritter;Evan Wright;William Casey;Tom Mitchell

  • What Is This, Anyway: Automatic Hypernym Discovery.

    Alan Ritter;Stephen Soderland;Oren Etzioni

  • Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints

    Ashutosh Baheti;Alan Ritter;Jiwei Li;Bill Dolan

  • Paraphrasing for Style

    Wei Xu;Alan Ritter;Bill Dolan;Ralph Grishman

  • SemEval-2015 Task 10: Sentiment Analysis in Twitter

    Sara Rosenthal;Saif M Mohammad;Preslav Nakov;Alan Ritter

  • SemEval-2013 Task 2: Sentiment Analysis in Twitter

    Preslav Nakov;Zornitsa Kozareva;Alan Ritter;Sara Rosenthal

  • SemEval-2014 Task 9: Sentiment Analysis in Twitter

    Sara Rosenthal;Preslav Nakov;Alan Ritter;Veselin Stoyanov

Frequent Co-Authors

Oren Etzioni
Oren Etzioni University of Washington
Jiwei Li
Jiwei Li Zhejiang University
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Veselin Stoyanov
Veselin Stoyanov Facebook (United States)
Dan Jurafsky
Dan Jurafsky Stanford University
Stephen Soderland
Stephen Soderland University of Washington
Raghu Machiraju
Raghu Machiraju The Ohio State University
Timothy Baldwin
Timothy Baldwin University of Melbourne
Tom M. Mitchell
Tom M. Mitchell Carnegie Mellon University
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University

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