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• [4]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993894

  Brinner, M.F., Zarrieß, S., Heger, T.: Weakly Supervised Claim Localization in Scientific Abstracts. In: Cimiano, P., Frank, A., Kohlhase, M., and Stein, B. (eds.) Robust Argumentation Machines, RATIO 2024. Lecture Notes in Artificial Intelligence. 14638, p. 20-38. Springer , Cham (2024).

  PUB | DOI | WoS
   
• [3]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993913

  Heger, T., Algergawy, A., Brinner, M.F., Jeschke, J.M., König-Ries, B., Mietchen, D., Zarrieß, S.: Natural Language Hypotheses in Scientific Papers and How to Tame Them Suggested Steps for Formalizing Complex Scientific Claims. In: Cimiano, P., Frank, A., Kohlhase, M., and Stein, B. (eds.) Robust Argumentation Machines (RATIO 2024) . Lecture Notes in Artificial Intelligence. 14638, p. 3-19. Springer , Cham (2024).

  PUB | DOI | WoS
   
• [2]
  

  2023 | Konferenzbeitrag | PUB-ID: 2984123

  Brinner, M.F., Zarrieß, S.: Model Interpretability and Rationale Extraction by Input Mask Optimization. In: Rogers, A., Boyd-Graber, J., and Okazaki, N. (eds.) Findings of the Association for Computational Linguistics: ACL 2023. p. 13722-13744. Association for Computational Linguistics, Toronto, Canada (2023).

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• [1]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969797

  Brinner, M.F., Heger, T., Zarrieß, S.: Linking a Hypothesis Network From the Domain of Invasion Biology to a Corpus of Scientific Abstracts: The INAS Dataset. Proceedings of the first Workshop on Information Extraction from Scientific Publications. p. 32-42. Association for Computational Linguistics, Stroudsburg, PA (2022).

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