Terry Ruas
Terry Ruas
University of Göttingen (Prev: Uni. of Michigan, NII Tokyo, Uni. of Wuppertal, UFABC)
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Como construir indicadores de ciência, tecnologia e inovação usando Web of Science, Derwent World Patent Index, Bibexcel e Pajek?
TL Ruas, L Pereira
Perspectivas em Ciência da Informação 19, 52-81, 2014
Multi-sense embeddings through a word sense disambiguation process
T Ruas, W Grosky, A Aizawa
Expert Systems with Applications 136, 288-303, 2019
Identifying machine-paraphrased plagiarism
JP Wahle, T Ruas, T Foltınek, N Meuschke, B Gipp
International Conference on Information, 393-413, 2022
Are neural language models good plagiarists? A benchmark for neural paraphrase detection
JP Wahle, T Ruas, N Meuschke, B Gipp
2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 226-229, 2021
Math-word embedding in math search and semantic extraction
A Greiner-Petter, A Youssef, T Ruas, BR Miller, M Schubotz, A Aizawa, ...
Scientometrics 125, 3017-3046, 2020
Aspect-based document similarity for research papers
M Ostendorff, T Ruas, T Blume, B Gipp, G Rehm
JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, 1-12, 2020
An agent-based model for the spread of the Dengue fever: a swarm platform simulation approach
LFO Jacintho, AFM Batista, TL Ruas, MGB Marietto, FA Silva
Proceedings of the 2010 Spring Simulation Multiconference, 1-8, 2010
Neural Media Bias Detection Using Distant Supervision With BABE--Bias Annotations By Experts
T Spinde, M Plank, JD Krieger, T Ruas, B Gipp, A Aizawa
In Findings of the Association for Computational Linguistics: EMNLP 2021 …, 2022
Automated refactoring of ATL model transformations: a search-based approach
B Alkhazi, T Ruas, M Kessentini, M Wimmer, WI Grosky
Proceedings of the ACM/IEEE 19th International Conference on Model Driven …, 2016
Enhanced word embeddings using multi-semantic representation through lexical chains
T Ruas, CHP Ferreira, W Grosky, FO de França, DMR de Medeiros
Information Sciences 532, 16-32, 2020
Pairwise multi-class document classification for semantic relations between wikipedia articles
M Ostendorff, T Ruas, M Schubotz, G Rehm, B Gipp
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 …, 2020
Detecting machine-obfuscated plagiarism
T Foltınek, T Ruas, P Scharpf, N Meuschke, M Schubotz, W Grosky, ...
International conference on information, 816-827, 2020
How large language models are transforming machine-paraphrased plagiarism
JP Wahle, T Ruas, F Kirstein, B Gipp
In Proceedings of the 2022 Conference on Empirical Methods in Natural …, 2022
Evaluating document representations for content-based legal literature recommendations
M Ostendorff, E Ash, T Ruas, B Gipp, J Moreno-Schneider, G Rehm
Proceedings of the Eighteenth International Conference on Artificial …, 2021
Testing the generalization of neural language models for COVID-19 misinformation detection
JP Wahle, N Ashok, T Ruas, N Meuschke, T Ghosal, B Gipp
International Conference on Information, 381-392, 2022
Exploiting transformer-based multitask learning for the detection of media bias in news articles
T Spinde, JD Krieger, T Ruas, J Mitrović, F Götz-Hahn, A Aizawa, B Gipp
International Conference on Information, 225-235, 2022
Incorporating word sense disambiguation in neural language models
JP Wahle, T Ruas, N Meuschke, B Gipp
arXiv preprint arXiv:2106.07967, 2021
Why machines cannot learn mathematics, yet
A Greiner-Petter, T Ruas, M Schubotz, A Aizawa, W Grosky, B Gipp
arXiv preprint arXiv:1905.08359, 2019
Keyword extraction through contextual semantic analysis of documents
T Ruas, W Grosky
Proceedings of the 9th International Conference on Management of Digital …, 2017
D3: A massive dataset of scholarly metadata for analyzing the state of computer science research
JP Wahle, T Ruas, SM Mohammad, B Gipp
In Proceedings of the Thirteenth Language Resources and Evaluation …, 2022
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