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Lessons Learned from a Citizen Science Project for Natural Language Processing.

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Lessons Learned from a Citizen Science Project for Natural Language Processing., , , , , , , , and . EACL, page 3576-3590. Association for Computational Linguistics, (2023)Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems., , , , , , , , and . NAACL-HLT (1), page 1634-1647. Association for Computational Linguistics, (2019)TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation., , , , , , and . AACL/IJCNLP (System Demonstrations), page 9-16. Association for Computational Linguistics, (2022)Empowering Active Learning to Jointly Optimize System and User Demands., , and . ACL, page 4233-4247. Association for Computational Linguistics, (2020)Constrained C-Test Generation via Mixed-Integer Programming., , and . CoRR, (2024)Reconfigurable multi-function logic based on graphene P-N junctions., , , and . DAC, page 883-888. ACM, (2010)Efficient Methods for Natural Language Processing: A Survey., , , , , , , , , and 8 other author(s). CoRR, (2022)Transformers with Learnable Activation Functions., , , and . EACL (Findings), page 2337-2353. Association for Computational Linguistics, (2023)Investigating label suggestions for opinion mining in German Covid-19 social media., , , , , and . ACL/IJCNLP (1), page 1-13. Association for Computational Linguistics, (2021)Manipulating the Difficulty of C-Tests., , and . ACL (1), page 360-370. Association for Computational Linguistics, (2019)