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Computer Science

D-Index
62
Citations
20703
World Ranking
2845
National Ranking
1406

Overview

Philip Resnik is affiliated with the University of Maryland, College Park, in the United States. Their research spans across multiple domains within computer science, psychology, and social sciences, reflecting a multidisciplinary approach to understanding and analyzing complex social and cognitive phenomena.

The main fields of study in Resnik's work include:

  • Computer Science
  • Psychology
  • Social Sciences

Within these areas, their subfields of interest emphasize:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Social Psychology
  • Sociology and Political Science
  • Applied Psychology

Resnik's research topics cover a variety of contemporary and interdisciplinary themes such as:

  • Mental Health via Writing
  • Topic Modeling
  • Digital Mental Health Interventions
  • Neuroscience and Music Perception
  • Computational and Text Analysis Methods
  • Social Media and Politics
  • Neural dynamics and brain function

The scientist has contributed to multiple recent publications, including:

  • "A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis," 2021, published in PLoS ONE
  • "Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions," 2023, published in eLife
  • "The Prompt Report: A Systematic Survey of Prompt Engineering Techniques," 2024, published on arXiv (Cornell University)
  • "Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence," 2021, published on arXiv (Cornell University)
  • "Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions," 2021, published on bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors collaborating with Resnik include:

  • Pranav Goel
  • Shohini Bhattasali
  • Alexander Hoyle
  • Deanna L. Kelly
  • Christian Brodbeck

The researcher's work is often published in venues including:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS ONE
  • SSRN Electronic Journal
  • eLife

Best Publications

  • Using information content to evaluate semantic similarity in a taxonomy

    Philip Resnik

  • Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language

    Philip Resnik

  • The Web as a parallel corpus

    Philip Resnik;Noah A. Smith

  • Selection and information: a class-based approach to lexical relationships

    Philip Stuart Resnik

  • Bootstrapping parsers via syntactic projection across parallel texts

    Rebecca Hwa;Philip Resnik;Amy Weinberg;Clara Cabezas

  • Selectional Preference and Sense Disambiguation

    Philip Resnik

  • Selectional constraints: an information-theoretic model and its computational realization

    Philip Resnik

  • Mining the Web for Bilingual Text

    Philip Resnik

  • Political Ideology Detection Using Recursive Neural Networks

    Mohit Iyyer;Peter Enns;Jordan Boyd-Graber;Philip Resnik

  • Speech recognition apparatus which predicts word classes from context and words from word classes

    Peter Fitzhugh Brown;Stephen Andrew Della Pietra;Vincent Joseph Della Pietra;Robert Leroy Mercer

  • An Unsupervised Method for Word Sense Tagging using Parallel Corpora

    Mona Diab;Philip Resnik

  • Distinguishing systems and distinguishing senses: new evaluation methods for Word Sense Disambiguation

    Philip Resnik;David Yarowsky

  • cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models

    Chris Dyer;Adam Lopez;Juri Ganitkevitch;Jonathan Weese

  • Online Large-Margin Training of Syntactic and Structural Translation Features

    David Chiang;Yuval Marton;Philip Resnik

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • A rule-based approach to prepositional phrase attachment disambiguation

    Eric Brill;Philip Resnik

  • Disambiguating Noun Groupings with Respect to WordNet Senses

    Philip Resnik

  • Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter

    Philip Resnik;William Armstrong;Leonardo Claudino;Thang Nguyen

  • Generalizing Word Lattice Translation

    Christopher Dyer;Smaranda Muresan;Philip Resnik

  • A Perspective on Word Sense Disambiguation Methods and Their Evaluation

    Philip Resnik

  • Elements of a computational model for multi-party discourse: The turn-taking behavior of Supreme Court justices

    Timothy Hawes;Jimmy Lin;Philip Resnik

  • A Class-Based Approach to Lexical Relationships

    P. Resnik

Frequent Co-Authors

Jordan Boyd-Graber
Jordan Boyd-Graber University of Maryland, College Park
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Hal Daumé
Hal Daumé University of Maryland, College Park
Benjamin B. Bederson
Benjamin B. Bederson University of Maryland, College Park
Chris Dyer
Chris Dyer Google (United States)
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Jimmy Lin
Jimmy Lin University of Waterloo
Mona Diab
Mona Diab Carnegie Mellon University
David Chiang
David Chiang University of Notre Dame
William Byrne
William Byrne University of Cambridge

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