Dr. Terry Lima Ruas
Senior Researcher for Natural Language Processing
SHORT BIOGRAPHY
Terry Ruas has completed his Ph.D. in Computer and Information Science at the University of Michigan – Dearborn in the USA, where he also worked as a Graduate Student Instructor for graduate and undergraduate courses. He completed his MSc and BSc in Information Engineering and Computer Science, respectively, at the Federal University of ABC (UFABC) in Brazil. During his graduate studies, he also worked in the industry for IBM for five years. He was also a Ph.D. intern at the National Institute of Informatics in Tokyo, Japan, and a summer teaching assistant at VelTech in Chennai, India.
STUDENTS
Dominik Meier, Frederic Kirstein, Jan Philip Wahle, and Jonas Becker are closely involved with Terry’s projects.
RESEARCH INTERESTS
Terry’s research interest is the result of an overlap between natural language processing, data science, and machine learning applied to text mining to extract semantic features. He explores how semantic features can solve different NLP downstream tasks and real-world problems.
Terry’s primary research interest topics are:
- Natural language processing
- Paraphrase generation and detection
- Large Language Models
- Scientometrics
- Text and meeting summarization
- Machine learning
- Data Science
SHORT CV
07/2022 – Present
Senior Researcher for Natural Language Processing
Scientific Information Analytics Group, University of Göttingen, Germany
09/2019 – 06/2022
Senior Researcher
Data & Knowledge Engineering Group, University of Wuppertal, Germany
09/2015 – 08/2019
Computer and Information Science, Ph.D.
University of Michigan-Dearborn, Michigan, USA
01/2018 – 07/2018
Visiting Researcher
National Institute of Informatics (NII), Tokyo, Japan
12/2009 – 07/2015
Product Manager; IT Specialist
IBM, São Paulo, Brazil
02/2012 – 10/2013
Information Engineering, M.Sc.
Federal University of ABC (UFABC), São Paulo, Brazil
01/2007 – 12/2010
Computer Science and Science & Technology, B.Sc.
Federal University of ABC (UFABC), São Paulo, Brazil
TEACHING & PROJECTS
[WS22, WS23, WS24]
▸Programming for Data Scientists: Python
▸Selected Topics in Data Science
[SS23,SS24]
▸Deep Learning for Natural Language Processing
[WS20, WS21]
▸Key Concepts in Computer Science
▸Applied Natural Language Processing and Text Mining
[SS20, SS21]
▸Key Concepts in Computer Science
[WS19]
SELECTED PUBLICATIONS
A complete list of my publications is available here.
Paraphrase Types for Generation and Detection
J. P. Wahle, T. Ruas, B. Gipp
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(PDF BibTeX)
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields
J. P. Wahle, T. Ruas, M. Abdalla, B. Gipp, S. M. Mohammad
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(PDF BibTeX)
How Large Language Models are Transforming Machine-Paraphrase Plagiarism
J. P. Wahle, T. Ruas, F. Kirstein, and B. Gipp
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 952–963, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics, December 07-11, 2022.
(PDF DOI BibTeX)
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
J. P. Wahle, T. Ruas, Saif M. Mohammad. Meuschke, B. Gipp
Proceedings of The 13th Language Resources and Evaluation Conference, LREC 2022, Marseille, France, June 20-25, 2022
(PDF DOI BibTeX)
Identifying Machine-Paraphrased Plagiarism
J. P. Wahle, T. Ruas, T. Foltynek, N. Meuschke, B. Gipp
Information for a Better World: Shaping the Global Future – 17th International Conference, iConference 2022.
(PDF DOI BibTeX)
Neural Media Bias Detection Using Distant Supervision With BABE – Bias Annotations By Expert
In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 1166–1177, Punta Cana, Dominican Republic, 2021.
(PDF DOI BibTeX)
