World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
14676
World Ranking
8160
National Ranking
3497

Overview

Patrick Pantel is affiliated with Facebook in the United States and conducts research primarily in the fields of Computer Science and Social Sciences. Their work integrates areas such as Information Systems, Artificial Intelligence, and Sociology and Political Science.

Their recent research includes the paper titled Preserving integrity in online social networks, published in 2022 in Communications of the ACM. This publication has attracted citations and contributes to understanding online social network dynamics.

Patrick Pantel collaborates frequently with several researchers, including:

  • Alon Halevy
  • Cristian Canton-Ferrer
  • Hao Ma
  • Umut Özertem
  • Marzieh Saeidi

Their publications have appeared in venues such as:

  • Communications of the ACM

Their research topics focus on areas involving:

  • Spam and Phishing Detection
  • Internet Traffic Analysis and Secure E-voting
  • Privacy, Security, and Data Protection

Patrick Pantel's work is situated at the intersection of technology and social science, studying the mechanisms that underpin trust, security, and integrity in digital environments.

Best Publications

  • From frequency to meaning: vector space models of semantics

    Peter D. Turney;Patrick Pantel

  • Discovering word senses from text

    Patrick Pantel;Dekang Lin

  • DIRT @SBT@discovery of inference rules from text

    Dekang Lin;Patrick Pantel

  • Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations

    Patrick Pantel;Marco Pennacchiotti

  • Discovery of inference rules for question-answering

    Dekang Lin;Patrick Pantel

  • Representing Text for Joint Embedding of Text and Knowledge Bases

    Kristina Toutanova;Danqi Chen;Patrick Pantel;Hoifung Poon

  • Automatically Assessing Review Helpfulness

    Soo-Min Kim;Patrick Pantel;Tim Chklovski;Marco Pennacchiotti

  • VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations

    Timothy Chklovski;Patrick Pantel

  • Automatically Labeling Semantic Classes

    Patrick Pantel;Deepak Ravichandran

  • Web-Scale Distributional Similarity and Entity Set Expansion

    Patrick Pantel;Eric Crestan;Arkady Borkovsky;Ana-Maria Popescu

  • Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering

    Deepak Ravichandran;Patrick Pantel;Eduard Hovy

  • Concept discovery from text

    Dekang Lin;Patrick Pantel

  • Document clustering with committees

    Patrick Pantel;Dekang Lin

  • Modeling Interestingness with Deep Neural Networks

    Jianfeng Gao;Patrick Pantel;Michael Gamon;Xiaodong He

  • A Statistical Corpus-Based Term Extractor

    Patrick Pantel;Dekang Lin

  • Smart selection of text spans

    Patrick Pantel;Michael Gamon;Ariel Damian Fuxman;Bernhard Kohlmeier

  • Induction of semantic classes from natural language text

    Dekang Lin;Patrick Pantel

  • Towards terascale knowledge acquisition

    Patrick Pantel;Deepak Ravichandran;Eduard Hovy

  • SpamCop: A Spam Classification & Organisation Program

    Patrick Pantel;Dekang Lin

  • Associating Search Queries and Entities

    Patrick Pantel;Ariel Damian Fuxman

Frequent Co-Authors

Michael Gamon
Michael Gamon Microsoft (United States)
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Dekang Lin
Dekang Lin Google (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Li Deng
Li Deng Citadel
Ryen W. White
Ryen W. White Microsoft (United States)
Peter D. Turney
Peter D. Turney Ronin Institute
Andrei Z. Broder
Andrei Z. Broder Google (United States)
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Marko Grobelnik
Marko Grobelnik Jožef Stefan Institute

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