Philip M. McCarthy

Philip M. McCarthy is an Assistant Professor at The University of Memphis. He is also a member of the Institute for Intelligent Systems. His research is in the field of Applied Natural Language Processing (ANLP). His primary interest is devising algorithms for contrastive corpus analyses, particularly where such algorithms can be informative of the relationship between language, the mind, and the world.

Publications

The Writing-Pal: Natural Language Algorithms to Support Intelligent Tutoring on Writing Strategies
The Writing-Pal: Natural Language Algorithms to Support Intelligent Tutoring on Writing Strategies
Danielle S. McNamara, Roxanne Raine, Rod Roscoe, Scott A. Crossley, G. Tanner Jackson, Jianmin Dai, Zhiqiang Cai, Adam Renner, Russell Brandon, Jennifer L. Weston, Kyle Dempsey, Diana Carney, Susan Sullivan, Loel Kim, Vasile Rus, Randy Floyd, Philip M. McCarthy, Arthur C. Graesser. © 2014. 14 pages.
The Writing-Pal (W-Pal) is an intelligent tutoring system (ITS) that provides writing strategy instruction to high school students and entering college students. One unique...
The Gramulator: A Tool to Identify Differential Linguistic Features of Correlative Text Types
The Gramulator: A Tool to Identify Differential Linguistic Features of Correlative Text Types
Philip M. McCarthy, Shinobu Watanabe, Travis A. Lamkin. © 2014. 22 pages.
Natural language processing tools, such as Coh-Metrix and LIWC, have been tremendously successful in offering insight into quantifiable differences between text types. Such...
Applied Natural Language Processing: Identification, Investigation and Resolution
Applied Natural Language Processing: Identification, Investigation and Resolution
Philip M. McCarthy, Chutima Boonthum-Denecke. © 2012. 659 pages.
The amount of information that humans have gathered and made available to other humans is phenomenal, yet however large this repository of knowledge is, by this time tomorrow, it...
Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches
Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches
Chutima Boonthum-Denecke, Philip M. McCarthy, Travis Lamkin. © 2012. 438 pages.
Applied Natural Language Processing (ANLP) is interested in not only the creation of natural language processing approaches (i.e., tools, systems, algorithms, models, theories...
Discourse Analysis and ANLP
Discourse Analysis and ANLP
Alexandra Kent, Philip M. McCarthy. © 2012. 20 pages.
The goal of this chapter is to outline a (primarily) qualitative and (secondarily) quantitative approach to the analysis of discourse. Discourse Analysis thrives on the variation...
The Writing-Pal: Natural Language Algorithms to Support Intelligent Tutoring on Writing Strategies
The Writing-Pal: Natural Language Algorithms to Support Intelligent Tutoring on Writing Strategies
Danielle S. McNamara, Roxanne Raine, Rod Roscoe, Scott A. Crossley, G. Tanner Jackson, Jianmin Dai, Zhiqiang Cai, Adam Renner, Russell Brandon, Jennifer L. Weston, Kyle Dempsey, Diana Carney, Susan Sullivan, Loel Kim, Vasile Rus, Randy Floyd, Philip M. McCarthy, Arthur C. Graesser. © 2012. 14 pages.
The Writing-Pal (W-Pal) is an intelligent tutoring system (ITS) that provides writing strategy instruction to high school students and entering college students. One unique...
The Gramulator: A Tool to Identify Differential Linguistic Features of Correlative Text Types
The Gramulator: A Tool to Identify Differential Linguistic Features of Correlative Text Types
Philip M. McCarthy, Shinobu Watanabe, Travis A. Lamkin. © 2012. 22 pages.
Natural language processing tools, such as Coh-Metrix (see Chapter 11, this volume) and LIWC (see Chapter 12, this volume), have been tremendously successful in offering insight...
Maximizing ANLP Evaluation: Harmonizing Flawed Input
Maximizing ANLP Evaluation: Harmonizing Flawed Input
Adam Renner, Philip M. McCarthy, Chutima Boonthum-Denecke, Danielle S. McNamara. © 2012. 19 pages.
A continuing problem for ANLP (compared with NLP) is that language tends to be more natural in ANLP than that examined in more controlled natural language processing (NLP)...
Newness and Givenness of Information : Automated Identification in Written Discourse
Newness and Givenness of Information : Automated Identification in Written Discourse
Philip M. McCarthy, David Dufty, Christian F. Hempelmann, Zhiqiang Cai, Danielle S. McNamara, Arthur C. Graesser. © 2012. 22 pages.
The identification of new versus given information within a text has been frequently investigated by researchers of language and discourse. Despite theoretical advances, an...
Using LIWC and Coh-Metrix to Investigate Gender Differences in Linguistic Styles
Using LIWC and Coh-Metrix to Investigate Gender Differences in Linguistic Styles
Courtney M. Bell, Philip M. McCarthy, Danielle S. McNamara. © 2012. 12 pages.
We use computational linguistic tools to investigate gender differences in language use within the context of marital conflict. Using the Language Inquiry and Word Count tool...
Natural Language Understanding and Assessment
Natural Language Understanding and Assessment
Vasile Rus, Philip M. McCarthy, Danielle S. McNamara, Arthur C. Graesser. © 2009. 6 pages.
Natural language understanding and assessment is a subset of natural language processing (NLP). The primary purpose of natural language understanding algorithms is to convert...