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Ted Underwood
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2020 – today
- 2024
- [j4]Yuerong Hu, Zoe LeBlanc, Jana Diesner, Ted Underwood, Glen Layne-Worthey, J. Stephen Downie:
Complexities of leveraging user-generated book reviews for scholarly research: transiency, power dynamics, and cultural dependency. Int. J. Digit. Libr. 25(2): 317-340 (2024) - [i3]Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo, Ted Underwood, Ece Gumusel, Mengyi Wei, Abhinav Choudhry, Jinjun Xiong:
"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education. CoRR abs/2401.12453 (2024) - 2023
- [c17]Ryan Dubnicek, Ted Underwood:
Piloting A Machine Learning Approach to Identify English-Language Fiction in the HathiTrust Digital Library. DH 2023 - [c16]Yuerong Hu, Ted Underwood, Glen Layne-Worthey, J. Stephen Downie:
Cross-Cultural Classics: Preliminary Findings from Goodreads Based in the U.S. and Douban Based in China. DH 2023 - [c15]Matthew J. Lavin, Melanie Walsh, Maria Antoniak, Yuerong Hu, Ted Underwood, David Bishop, Liza Senatorova, Wenyi Shang:
Reception History in Many Dimensions: New Research on Book Reviews. DH 2023 - 2022
- [j3]John A. Walsh, Peter J. Cobb, Wayne de Fremery, Koraljka Golub, Humphrey Keah, Jeonghyun Kim, Joseph Kiplang'at, Ying-Hsang Liu, Simon Mahony, Sam Gyun Oh, Chris Alen Sula, Ted Underwood, Xiaoguang Wang:
Digital humanities in the iSchool. J. Assoc. Inf. Sci. Technol. 73(2): 188-203 (2022) - [c14]Yuerong Hu, Zoe LeBlanc, Jana Diesner, Ted Underwood, Glen Layne-Worthey, J. Stephen Downie:
Complexities associated with user-generated book reviews in digital libraries: temporal, cultural, and political case studies. JCDL 2022: 30 - [c13]Ming Jiang, Ryan C. Dubnicek, Glen Worthey, Ted Underwood, J. Stephen Downie:
A prototype gutenberg-hathitrust sentence-level parallel corpus for OCR error analysis: pilot investigations. JCDL 2022: 45 - 2021
- [c12]Ming Jiang, Yuerong Hu, Glen Worthey, Ryan C. Dubnicek, Ted Underwood, J. Stephen Downie:
Impact of OCR Quality on BERT Embeddings in the Domain Classification of Book Excerpts. CHR 2021: 266-279 - [c11]Wenyi Shang, Ted Underwood:
Improving Measures of Text Reuse in English Poetry: A TF-IDF Based Method. iConference (1) 2021: 469-477 - [c10]Ming Jiang, Yuerong Hu, Glen Worthey, Ryan C. Dubnicek, Ted Underwood, J. Stephen Downie:
Evaluating BERT's Encoding of Intrinsic Semantic Features of OCR'd Digital Library Collections. JCDL 2021: 308-309 - 2020
- [c9]Aniruddha Sharma, Yuerong Hu, Peizhen Wu, Wenyi Shang, Shubhangi Singhal, Ted Underwood:
The Rise and Fall of Genre Differentiation in English-Language Fiction. CHR 2020: 97-114 - [c8]Matthew J. Lavin, Kent Chang, Yuerong Hu, Wenyi Shang, Aniruddha Sharma, Shubhangi Singhal, Ted Underwood, Jessica Witte, Peizhen Wu, Dan Sinykin, Melanie Walsh, Maria Antoniak:
Cultural Analytics and the Book Review: Models, Methods, and Corpora. DH 2020 - [c7]Yuerong Hu, Ming Jiang, Ted Underwood, J. Stephen Downie:
Improving Digital Libraries' Provision of Digital Humanities Datasets: A Case Study of HTRC Literature Dataset. JCDL 2020: 405-408
2010 – 2019
- 2018
- [c6]Ted Underwood:
The Historical Significance of Textual Distances. LaTeCH@COLING 2018: 60-69 - [i2]Ted Underwood:
The Historical Significance of Textual Distances. CoRR abs/1807.00181 (2018) - 2017
- [j2]Ted Underwood:
A Genealogy of Distant Reading. Digit. Humanit. Q. 11(2) (2017) - 2015
- [j1]Ted Underwood:
The literary uses of high-dimensional space. Big Data Soc. 2(2): 205395171560249 (2015) - 2014
- [c5]David Bamman, Ted Underwood, Noah A. Smith:
A Bayesian Mixed Effects Model of Literary Character. ACL (1) 2014: 370-379 - [c4]Ted Underwood:
The Proportional Sizes of Genres in Eighteenth- and Nineteenth-Century English-Language Books. DH 2014 - [c3]Joris van Zundert, Fotis Jannidis, Johanna Drucker, Geoffrey Rockwell, Ted Underwood, Mike Kestemont, Tara L. Andrews:
What is Modeling and What is Not?. DH 2014 - 2013
- [c2]Ted Underwood, Michael L. Black, Loretta Auvil, Boris Capitanu:
Mapping mutable genres in structurally complex volumes. IEEE BigData 2013: 95-103 - [i1]Ted Underwood, Michael L. Black, Loretta Auvil, Boris Capitanu:
Mapping Mutable Genres in Structurally Complex Volumes. CoRR abs/1309.3323 (2013) - 2012
- [c1]Ted Underwood, Jordan Sellers, Loretta Auvil, Boris Capitanu:
The Differentiation of Genres in Eighteenth- and Nineteenth-Century English Literature. DH 2012: 397-399
Coauthor Index
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last updated on 2024-08-16 19:27 CEST by the dblp team
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