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Computer Aided Exercise Generation - SciTePressA computer-aided environ- ment for generating multiple-choice test items. Natural language engineering, 12. (2):177?194, 2006. Kishore Papineni, Salim Roukos Development and Evaluation of a Personalized Computer-aided ...An exception is the computer-aided environ- ment for generating multiple-choice test items, de- scribed in (Mitkov et al., 2006). Authors present a system for Bootstrapping Multiple-Choice Tests - Fenixchoice question are required. Mitkov and colleagues (Mitkov et al., 2006) developed a computer-aided environment for generating multiple-choice test items. A Systematic Study and Comprehensive Evaluation of ChatGPT on ...Chin-Yew Lin. 2004. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out, pages 74?81. Yang arXiv:2305.14835v2 [cs.CL] 9 Oct 2023C.-Y. Lin. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out, pages 74?81, 2004. Towards Neural Similarity Evaluators - OpenReviewIn this thesis, I identify problems with the existing methodologies for evaluating summaries as well as meta-evaluating the quality of an evaluation metric and Methods for Text Summarization EvaluationROUGE: A package for automatic evaluation of summaries. In Text. Summarization Branches Out: Proceedings of the ACL-04 Workshop, July 2004. 13. Yan Liu Automatic Generation of Review Matrices as Multi-document ...Chin-Yew Lin. 2004. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out, pages 74?81. G-EVAL: NLG Evaluation using GPT-4 with Better Human AlignmentChin-Yew Lin. 2004. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out, pages 74?81. Alisa arXiv:2305.14341v1 [cs.CL] 23 May 2023ROUGE: A Package for Automatic Evaluation of summaries. In Proceedings of ACL workshop on Text Summarization Branches Out, pages. 74?81 Principled Approaches to Automatic Text Summarization - TUprintsIn this paper, we propose FFCI, a framework for fine-grained summarization evaluation that comprises four elements: faithfulness (degree of factual A Framework for Interpretable Automatic Evaluation of SummarizationIn this paper, we propose FFCI, a framework for fine-grained summarization evaluation that comprises four elements: faithfulness (degree of factual
