Reva Freedman


2024

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Text vs. Transcription: A Study of Differences Between the Writing and Speeches of U.S. Presidents
Mina Rajaei Moghadam | Mosab Rezaei | Gülşat Aygen | Reva Freedman
Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities

Even after many years of research, answering the question of the differences between spoken and written text remains open. This paper aims to study syntactic features that can serve as distinguishing factors. To do so, we focus on the transcribed speeches and written books of United States presidents. We conducted two experiments to analyze high-level syntactic features. In the first experiment, we examine these features while controlling for the effect of sentence length. In the second experiment, we compare the high-level syntactic features with low-level ones. The results indicate that adding high-level syntactic features enhances model performance, particularly in longer sentences. Moreover, the importance of the prepositional phrases in a sentence increases with sentence length. We also find that these longer sentences with more prepositional phrases are more likely to appear in speeches than in written books by U.S. presidents.

2008

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Teaching NLP to Computer Science Majors via Applications and Experiments
Reva Freedman
Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics

2005

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Concrete Assignments for Teaching NLP in an M.S. Program
Reva Freedman
Proceedings of the Second ACL Workshop on Effective Tools and Methodologies for Teaching NLP and CL

2000

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Plan-Based Dialogue Management in a Physics Tutor
Reva Freedman
Sixth Applied Natural Language Processing Conference

1998

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System Demonstration Content Planning as the Basis for an Intelligent Tutoring System
Reva Freedman | Stefan Brandle | Michael Glass | Jung Hee Kim | Yujian Zhou | Martha W. Evens
Natural Language Generation