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Philip Resnik

Biographic Data

ID841350
NAMEPhilip Resnik
GIVEN NAMESPhilip
FAMILY NAMEResnik
SIGNATURERESNIK P
AFFILIATIONSUniversity of Maryland, Department of Linguistics and Institute for Advanced Computer Studies. [email protected]
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS25
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2003
LATEST PUBLICATION YEAR2026
H-INDEX2
  • A predictive coding model for online sentence processing

    Open Access•Chiebuka Ohams, Sathvik Nair et al.•ARTICLE•Journal of Memory and Language•2026

    Computational approaches to prediction in online sentence processing tend to be dominated by computation-level surprisal theory, offering few insights into underlying cognitive mechanisms. Conversely, predictive coding is an algorithmic theory grounded in neuroscience, but it has rarely been employed in the study of language processing, in part because its areas of application have not involved sequential processing. Building on a recently propos…

  • Large Language Models Are Biased Because They Are Large Language Models

    Open Access•Philip Resnik, Philip S Resnik•ARTICLE•Computational Linguistics•2025•References: 6

    This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are currently formulated. To the extent that this is true, it suggests that the problem of harmful bias cannot be properly addres…

  • Express Yourself (Ideologically)

    Sorelle Gaynor, Kristina Miler et al.•ARTICLE•The Journal of Politics•2025•Cited by: 1•References: 17

  • The Web in Theoretical Linguistics Research

    Open Access•Philip Resnik, Philip S Resnik et al.•ARTICLE•Proceedings of the Annual Meeting…•2014

    0. Introduction The whisper of “does that sound ok to you?” is a familiar sound to most linguists: we often hear it in the audience when a presenter supports a theoretical point using a judgment of grammaticality or ungrammaticality, and someone in the audience disagrees with the judgment. In recent years a growing number of researchers have investigated the use of introspective judgments underlying work in theoretical syntax and in linguistics m…

  • Real-Time Reactions to a 2012 Presidential Debate

    Amber E Boydstun, Rebecca A Glazier et al.•ARTICLE•Public Opinion Quarterly•2014•Cited by: 19•References: 35

    How effective are presidential candidates at engaging viewers during debates? To answer this question, we designed a mobile app and conducted a large-scale national study of individual college students’ real-time reactions to the first general election debate of 2012. Previous studies have relied either on real-time but small-sample individual dial reactions or on large-scale public reactions to debates in their entirety, after the fact, and with…

  • The Web as a Parallel Corpus

    Open Access•Philip Resnik, Philip S Resnik et al.•ARTICLE•Computational Linguistics•2003•Cited by: 5•References: 1

    Parallel corpora have become an essential resource for work in multilingual natural language processing. In this article, we report on our work using the STRAND system for mining parallel text on the World Wide Web, first reviewing the original algorithm and results and then presenting a set of significant enhancements. These enhancements include the use of supervised learning based on structural features of documents to improve classification pe…

  • Real-Time Reactions to a 2012 Presidential Debate

    Amber E Boydstun, Rebecca A Glazier et al.•ARTICLE•Public Opinion Quarterly•2014•Cited by: 19•References: 35

    How effective are presidential candidates at engaging viewers during debates? To answer this question, we designed a mobile app and conducted a large-scale national study of individual college students’ real-time reactions to the first general election debate of 2012. Previous studies have relied either on real-time but small-sample individual dial reactions or on large-scale public reactions to debates in their entirety, after the fact, and with…

  • The Web as a Parallel Corpus

    Open Access•Philip Resnik, Philip S Resnik et al.•ARTICLE•Computational Linguistics•2003•Cited by: 5•References: 1

    Parallel corpora have become an essential resource for work in multilingual natural language processing. In this article, we report on our work using the STRAND system for mining parallel text on the World Wide Web, first reviewing the original algorithm and results and then presenting a set of significant enhancements. These enhancements include the use of supervised learning based on structural features of documents to improve classification pe…

  • Express Yourself (Ideologically)

    Sorelle Gaynor, Kristina Miler et al.•ARTICLE•The Journal of Politics•2025•Cited by: 1•References: 17

  • The Web as a Parallel Corpus

    Open Access•Philip Resnik, Philip S Resnik et al.•ARTICLE•Computational Linguistics•2003•Cited by: 5•References: 1

    Parallel corpora have become an essential resource for work in multilingual natural language processing. In this article, we report on our work using the STRAND system for mining parallel text on the World Wide Web, first reviewing the original algorithm and results and then presenting a set of significant enhancements. These enhancements include the use of supervised learning based on structural features of documents to improve classification pe…

  • The Web in Theoretical Linguistics Research

    Open Access•Philip Resnik, Philip S Resnik et al.•ARTICLE•Proceedings of the Annual Meeting…•2014

    0. Introduction The whisper of “does that sound ok to you?” is a familiar sound to most linguists: we often hear it in the audience when a presenter supports a theoretical point using a judgment of grammaticality or ungrammaticality, and someone in the audience disagrees with the judgment. In recent years a growing number of researchers have investigated the use of introspective judgments underlying work in theoretical syntax and in linguistics m…

  • Real-Time Reactions to a 2012 Presidential Debate

    Amber E Boydstun, Rebecca A Glazier et al.•ARTICLE•Public Opinion Quarterly•2014•Cited by: 19•References: 35

    How effective are presidential candidates at engaging viewers during debates? To answer this question, we designed a mobile app and conducted a large-scale national study of individual college students’ real-time reactions to the first general election debate of 2012. Previous studies have relied either on real-time but small-sample individual dial reactions or on large-scale public reactions to debates in their entirety, after the fact, and with…

  • Large Language Models Are Biased Because They Are Large Language Models

    Open Access•Philip Resnik, Philip S Resnik•ARTICLE•Computational Linguistics•2025•References: 6

    This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are currently formulated. To the extent that this is true, it suggests that the problem of harmful bias cannot be properly addres…

  • Express Yourself (Ideologically)

    Sorelle Gaynor, Kristina Miler et al.•ARTICLE•The Journal of Politics•2025•Cited by: 1•References: 17

  • A predictive coding model for online sentence processing

    Open Access•Chiebuka Ohams, Sathvik Nair et al.•ARTICLE•Journal of Memory and Language•2026

    Computational approaches to prediction in online sentence processing tend to be dominated by computation-level surprisal theory, offering few insights into underlying cognitive mechanisms. Conversely, predictive coding is an algorithmic theory grounded in neuroscience, but it has rarely been employed in the study of language processing, in part because its areas of application have not involved sequential processing. Building on a recently propos…

Computer Science (4 works) · Artificial Intelligence (3 works) · Natural Language Processing Techniques (3 works) · Language and cultural evolution (2 works) · Law (2 works) · Linguistics (2 works) · Mathematics (2 works) · Natural language processing (2 works) · Political science (2 works) · Politics (2 works)

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