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Boris Katz

Boris Katz

D-Index & Metrics

Computer Science

D-Index
30
Citations
5642
World Ranking
13918
National Ranking
5533

Overview

Boris Katz is a researcher affiliated with MIT in the United States, specializing in computer science with a particular emphasis on artificial intelligence. Their work spans multiple subfields, including computer vision and pattern recognition, cognitive neuroscience, signal processing, as well as sociology and political science.

The primary topics that characterize their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Reinforcement Learning in Robotics
  • Human Pose and Action Recognition
  • Speech and Dialogue Systems
  • Multi-Agent Systems and Negotiation

Frequent coauthors who have collaborated with Boris Katz include:

  • Andrei Barbu
  • Yen-Ling Kuo
  • Tianmin Shu
  • Ravi Tejwani
  • Joshua B. Tenenbaum

Their research has been published in various venues, with multiple publications appearing in:

  • arXiv (Cornell University)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Open Mind
  • bioRxiv (Cold Spring Harbor Laboratory)

Selected recent papers from Boris Katz's publication record include:

  • Universal Dependencies, 2025, HAL (Le Centre pour la Communication Scientifique Directe)
  • CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading, 2022, Open Mind
  • Trajectory Prediction with Linguistic Representations, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • BrainBERT: Self-supervised representation learning for intracranial recordings, 2023, arXiv (Cornell University)
  • PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • Method and apparatus for utilizing annotations to facilitate computer retrieval of database material

    Boris Katz;Patrick H. Winston

  • Annotating the world wide web using natural language

    Boris Katz

  • Quantitative evaluation of passage retrieval algorithms for question answering

    Stefanie Tellex;Boris Katz;Jimmy Lin;Aaron Fernandes

  • Method and apparatus for generating and utlizing annotations to facilitate computer text retrieval

    Boris Katz;Patrick H. Winston

  • Using English for Indexing and Retrieving

    Boris Katz

  • Learning physical descriptions from functional definitions, examples, and precedents

    Patrick H. Winston;Thomas O. Binford;Boris Katz;Michael Lowry

  • ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models

    Andrei Barbu;David Mayo;Julian Alverio;William Luo

  • A Three-Step Procedure for Language Generation

    Boris Katz

  • From Sentence Processing to Information Access on the World Wide Web

    Boris Katz

  • Exploiting Lexical Regularities in Designing Natural Language Systems

    Boris Katz;Beth Levin

  • Omnibase: Uniform access to heterogeneous data for question answering

    Boris Katz;Sue Felshin;Deniz Yuret;Ali Ibrahim

  • Question answering from the web using knowledge annotation and knowledge mining techniques

    Jimmy Lin;Boris Katz

  • Omnibase: Uniform Access to Heterogeneous Data for Question Answering

    Boris Katz;Sue Felshin;Deniz Yuret;Ali Ibrahim

  • REXTOR: A System for Generating Relations from Natural Language

    Boris Katz;Jimmy Lin

  • Extracting Structural Paraphrases from Aligned Monolingual Corpora

    Ali Ibrahim;Boris Katz;Jimmy Lin

  • What Makes a Good Answer? The Role of Context in Question Answering.

    Jimmy J. Lin;Dennis Quan;Vineet Sinha;Karun Bakshi

  • Selectively Using Relations to Improve Precision in Question Answering

    Boris Katz;Jimmy Lin

  • Answering Definition Questions Using Multiple Knowledge Sources

    Wesley Hildebrandt;Boris Katz;Jimmy J. Lin

  • What Works Better for Question Answering: Stemming or Morphological Query Expansion?

    Matthew W. Bilotti;Boris Katz;Jimmy Lin

  • Integrating Web-based and Corpus-based Techniques for Question Answering.

    Boris Katz;Jimmy J. Lin;Daniel Loreto;Wesley Hildebrandt

  • Natural Language Annotations for Question Answering.

    Boris Katz;Gary C. Borchardt;Sue Felshin

  • A comparative study of language models for book and author recognition

    Özlem Uzuner;Boris Katz

Frequent Co-Authors

Jimmy Lin
Jimmy Lin University of Waterloo
Özlem Uzuner
Özlem Uzuner George Mason University
Roi Reichart
Roi Reichart Technion – Israel Institute of Technology
Anna Korhonen
Anna Korhonen University of Cambridge
Stefanie Tellex
Stefanie Tellex Brown University

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