Philip Resnik
Biographic Data
| ID | 841350 |
|---|---|
| NAME | Philip Resnik |
| GIVEN NAMES | Philip |
| FAMILY NAME | Resnik |
| SIGNATURE | RESNIK P |
| AFFILIATIONS | University of Maryland, Department of Linguistics and Institute for Advanced Computer Studies. [email protected] |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 25 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
A predictive coding model for online sentence processing
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
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)
The Web in Theoretical Linguistics Research
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
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
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
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
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)
The Web as a Parallel Corpus
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
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
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
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)
A predictive coding model for online sentence processing
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)