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Terry Ruas
Terry Ruas
University of Göttingen (Prev: Uni. of Michigan, NII Tokyo, Uni. of Wuppertal, UFABC)
Verified email at uni-goettingen.de - Homepage
Title
Cited by
Cited by
Year
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
EMNLP (Findings) 2021, 1166–1177, 2022
702022
Identifying machine-paraphrased plagiarism
JP Wahle, T Ruas, T Foltınek, N Meuschke, B Gipp
iConference - Nominated for Best Paper, 393-413, 2022
592022
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
592014
How large language models are transforming machine-paraphrased plagiarism
JP Wahle, T Ruas, F Kirstein, B Gipp
EMNLP (Main), 952–963, 2022
542022
Multi-sense embeddings through a word sense disambiguation process
T Ruas, W Grosky, A Aizawa
Expert Systems with Applications (ESWA), Elsevier 136, 288-303, 2019
532019
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
402020
Are neural language models good plagiarists? A benchmark for neural paraphrase detection
JP Wahle, T Ruas, N Meuschke, B Gipp
JCDL (Main), 226-229, 2021
382021
Aspect-based document similarity for research papers
M Ostendorff, T Ruas, T Blume, B Gipp, G Rehm
JCDL (Main), 1-12, 2020
342020
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
302010
The elephant in the room: Analyzing the presence of big tech in natural language processing research
M Abdalla, JP Wahle, T Ruas, A Névéol, F Ducel, SM Mohammad, K Fort
ACL (Main), 13141–13160, 2023
292023
Detecting machine-obfuscated plagiarism
T Foltınek, T Ruas, P Scharpf, N Meuschke, M Schubotz, W Grosky, ...
iConference, 816-827, 2020
282020
Pairwise multi-class document classification for semantic relations between wikipedia articles
M Ostendorff, T Ruas, M Schubotz, G Rehm, B Gipp
JCDL (Main), 127-136, 2020
272020
Enhanced word embeddings using multi-semantic representation through lexical chains
T Ruas, CHP Ferreira, W Grosky, FO de França, DMR de Medeiros
Information Sciences (Elsevier) 532, 16-32, 2020
262020
Automated refactoring of ATL model transformations: a search-based approach
B Alkhazi, T Ruas, M Kessentini, M Wimmer, WI Grosky
MODELS (ACM/IEEE), 295-304, 2016
262016
Introducing MBIB-the first media bias identification benchmark task and dataset collection
M Wessel, T Horych, T Ruas, A Aizawa, B Gipp, T Spinde
SIGIR, 2765-2774, 2023
242023
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
242021
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
iConference, 225-235, 2022
232022
Testing the generalization of neural language models for COVID-19 misinformation detection
JP Wahle, N Ashok, T Ruas, N Meuschke, T Ghosal, B Gipp
iConference, 381-392, 2022
222022
A domain-adaptive pre-training approach for language bias detection in news
JD Krieger, T Spinde, T Ruas, J Kulshrestha, B Gipp
JCDL (Main), 1-7, 2022
212022
Ai usage cards: Responsibly reporting ai-generated content
JP Wahle, T Ruas, SM Mohammad, N Meuschke, B Gipp
JCDL (Main), 282-284, 2023
182023
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Articles 1–20