Atural Language Processing for Computer Scientists and Data Scientists at a Large State University

Casey Kennington

Atural Language Processing for Computer Scientists and Data Scientists at a Large State University

Casey Kennington

Computer Science Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The field of Natural Language Processing (NLP) changes rapidly, requiring course offerings to adjust with those changes, and NLP is not just for computer scientists; it's a field that should be accessible to anyone who has a sufficient background. In this paper, I explain how students with Computer Science and Data Science backgrounds can be well-prepared for an upper-division NLP course at a large state university. The course covers probability and information theory, elementary linguistics, machine and deep learning, with an attempt to balance theoretical ideas and concepts with practical applications. I explain the course objectives, topics and assignments, reflect on adjustments to the course over the last four years, as well as feedback from students.

Original language	English
Title of host publication	Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing
Editors	Brian Roark, Ani Nenkova, David Jurgens, Varada Kolhatkar, Lucy Li, Margot Mieskes, Ted Pedersen
Pages	115-124
Number of pages	10
ISBN (Electronic)	9781954085367
State	Published - 2021
Event	5th Workshop on Teaching Natural Language Processing, Teaching NLP 2021 - Virtual, Mexico City, Mexico Duration: 10 Jun 2021 → 11 Jun 2021

Publication series

Name	Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing

Conference

Conference	5th Workshop on Teaching Natural Language Processing, Teaching NLP 2021
Country/Territory	Mexico
City	Virtual, Mexico City
Period	10/06/21 → 11/06/21

Cite this

Kennington, C. (2021). Atural Language Processing for Computer Scientists and Data Scientists at a Large State University. In B. Roark, A. Nenkova, D. Jurgens, V. Kolhatkar, L. Li, M. Mieskes, & T. Pedersen (Eds.), Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing (pp. 115-124). (Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing).

Kennington, Casey. / Atural Language Processing for Computer Scientists and Data Scientists at a Large State University. Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing. editor / Brian Roark ; Ani Nenkova ; David Jurgens ; Varada Kolhatkar ; Lucy Li ; Margot Mieskes ; Ted Pedersen. 2021. pp. 115-124 (Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing).

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title = "Atural Language Processing for Computer Scientists and Data Scientists at a Large State University",

abstract = "The field of Natural Language Processing (NLP) changes rapidly, requiring course offerings to adjust with those changes, and NLP is not just for computer scientists; it's a field that should be accessible to anyone who has a sufficient background. In this paper, I explain how students with Computer Science and Data Science backgrounds can be well-prepared for an upper-division NLP course at a large state university. The course covers probability and information theory, elementary linguistics, machine and deep learning, with an attempt to balance theoretical ideas and concepts with practical applications. I explain the course objectives, topics and assignments, reflect on adjustments to the course over the last four years, as well as feedback from students.",

author = "Casey Kennington",

note = "Publisher Copyright: {\textcopyright}2021 Association for Computational Linguistics.; 5th Workshop on Teaching Natural Language Processing, Teaching NLP 2021 ; Conference date: 10-06-2021 Through 11-06-2021",

year = "2021",

language = "English",

series = "Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing",

pages = "115--124",

editor = "Brian Roark and Ani Nenkova and David Jurgens and Varada Kolhatkar and Lucy Li and Margot Mieskes and Ted Pedersen",

booktitle = "Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing",

}

Kennington, C 2021, Atural Language Processing for Computer Scientists and Data Scientists at a Large State University. in B Roark, A Nenkova, D Jurgens, V Kolhatkar, L Li, M Mieskes & T Pedersen (eds), Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing. Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing, pp. 115-124, 5th Workshop on Teaching Natural Language Processing, Teaching NLP 2021, Virtual, Mexico City, Mexico, 10/06/21.

Atural Language Processing for Computer Scientists and Data Scientists at a Large State University. / Kennington, Casey.
Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing. ed. / Brian Roark; Ani Nenkova; David Jurgens; Varada Kolhatkar; Lucy Li; Margot Mieskes; Ted Pedersen. 2021. p. 115-124 (Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2021

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AB - The field of Natural Language Processing (NLP) changes rapidly, requiring course offerings to adjust with those changes, and NLP is not just for computer scientists; it's a field that should be accessible to anyone who has a sufficient background. In this paper, I explain how students with Computer Science and Data Science backgrounds can be well-prepared for an upper-division NLP course at a large state university. The course covers probability and information theory, elementary linguistics, machine and deep learning, with an attempt to balance theoretical ideas and concepts with practical applications. I explain the course objectives, topics and assignments, reflect on adjustments to the course over the last four years, as well as feedback from students.

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M3 - Conference contribution

AN - SCOPUS:85138717857

T3 - Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing

SP - 115

EP - 124

BT - Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing

A2 - Roark, Brian

A2 - Nenkova, Ani

A2 - Jurgens, David

A2 - Kolhatkar, Varada

A2 - Li, Lucy

A2 - Mieskes, Margot

A2 - Pedersen, Ted

T2 - 5th Workshop on Teaching Natural Language Processing, Teaching NLP 2021

Y2 - 10 June 2021 through 11 June 2021

ER -

Kennington C. Atural Language Processing for Computer Scientists and Data Scientists at a Large State University. In Roark B, Nenkova A, Jurgens D, Kolhatkar V, Li L, Mieskes M, Pedersen T, editors, Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing. 2021. p. 115-124. (Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing).

Atural Language Processing for Computer Scientists and Data Scientists at a Large State University

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