Dr. Terry Lima Ruas

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  • 2023 | Conference Paper
    ​ ​Wessel M, Horych T, Ruas T, Aizawa A, Gipp B, Spinde T. ​Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection​. ​​Proceedings of the 46th International ACM SIGIR. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval; ​2023-07-23​ - 2023-07-27​; ​​Taipei. ​New York: ​Association for Computing Machinery; ​2023.  p. 2765​-2774​. ​doi:10.1145/3539618.3591882.
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Ostendorff M, Blume T, Ruas T, Gipp B, Rehm G. ​Specialized Document Embeddings for Aspect-based Similarity of Research Papers​. ​​2022. 
    ​Details  arXiv 
  • 2022 | Conference Paper
    ​ ​Wahle JP, Ashok N, Ruas T, Meuschke N, Ghosal T, Gipp B. ​Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection​. ​In: Smits M​, editor. ​Information for a Better World: Shaping the Global Future. 17th International Conference, iConference 2022; ​2022-02-28​ - 2022-03-04​; ​​Virtual Event. Vol. 1. ​Cham: ​Springer; ​2022.  p. 381​-392​. ​doi:10.1007/978-3-030-96957-8_33.
    ​Details  DOI 
  • 2022 | Conference Paper
    ​ ​Spinde T, Krieger, Jan-David, Ruas T, Mitrović J, Götz-Hahn F, Aizawa A, et al. ​Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles​. ​In: Smits M​, editor. ​Information for a Better World: Shaping the Global Future. 17th International Conference, iConference 2022; ​2022-03-28​ - 2022-03-04​; ​​Virtual Event. Vol. 1. ​Cham: ​Springer; ​2022.  p. 225​-235​. ​doi:10.1007/978-3-030-96957-8_20.
    ​Details  DOI 
  • 2021 | Preprint
    ​ ​Stegmüller J, Bauer-Marquart F, Meuschke N, Ruas T, Schubotz M, Gipp B. ​Detecting Cross-Language Plagiarism using Open Knowledge Graphs​. ​​2021. 
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Wahle JP, Ashok N, Ruas T, Meuschke N, Ghosal T, Gipp B. ​Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection​. ​​2021. 
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Ostendorff M, Ash E, Ruas T, Gipp B, Moreno-Schneider J, Rehm G. ​Evaluating Document Representations for Content-based Legal Literature Recommendations​. ​​2021. 
    ​Details  arXiv 
  • 2021 | Conference Paper
    ​ ​Wahle JP, Ruas T, Meuschke N, Gipp B. ​Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection​. ​​Proceedings. 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL); ​2021-09-27​ - 2021-09-30​; ​​Champaign, IL, USA. ​2021.  p. 226​-229​. ​doi:10.1109/JCDL52503.2021.00065.
    ​Details  DOI  arXiv 
  • 2021 | Preprint
    ​ ​Wahle JP, Ruas T, Meuschke N, Gipp B. ​Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection​. ​​2021. 
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Wahle JP, Ruas T, Foltýnek T, Meuschke N, Gipp B. ​Identifying Machine-Paraphrased Plagiarism​. ​​2021. 
    ​Details  arXiv 
  • 2021 | Conference Paper | 
    ​ ​Stegmüller J, Bauer-Marquart F, Meuschke N, Lima Ruas T, Schubotz M, Gipp B. ​Detecting Cross-Language Plagiarism using Open Knowledge Graphs​. ​ Paper presented at:​ EEKE 2021 - Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents; ​2021​; ​
    ​Details 
  • 2021 | Conference Paper
    ​ ​Ostendorff M, Ash E, Lima Ruas T, Gipp B, Moreno-Schneider J, Rehm G. ​Evaluating document representations for content-based legal literature recommendations​. ​​Proceedings. ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law; ​2021-06-21​ - 2021-06-25​; ​​São Paulo, Brazil. ​ACM Digital Library; ​2021.  p. 109​-118​. ​doi:10.1145/3462757.3466073.
    ​Details  DOI 
  • 2021 | Conference Paper
    ​ ​Spinde T, Plank M, Krieger, Jan-David, Ruas T, Gipp B, Aizawa A. ​Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts​. ​​Findings of the Association for Computational Linguistics. EMNLP 2021; ​2021-11​; ​​Punta Cana, Dominican Republic. ​Association for Computational Linguistics; ​2021.  p. 1166​-1177​. ​doi:10.18653/v1/2021.findings-emnlp.101.
    ​Details  DOI 
  • 2020 | Conference Paper
    ​ ​Foltýnek T, Ruas T, Scharpf P, Meuschke N, Schubotz M, Grosky W, et al. ​Detecting Machine-Obfuscated Plagiarism​. ​In: Sundqvist A, Berget G, Nolin J, Skjerdingstad KI​, editors. ​Sustainable Digital Communities. 15th International Conference, iConference 2020; ​2020-03-23​ - 2020-03-26​; ​​Boras, Sweden. ​Cham: ​Springer; ​2020.  p. 816​-827​. ​doi:10.1007/978-3-030-43687-2_68.
    ​Details  DOI 

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