Based on an earlier evaluation of a number of well-established algorithms for the generation of referring expressions, this paper explores several problems that ...
Based on an earlier evaluation of a number of well-established algorithms for the generation of referring expressions, this paper explores several problems that ...
Based on an earlier evaluation of a number of well-established algorithms for the generation of referring expressions, this paper explores several problems that ...
Based on an earlier evaluation of a number of well-established algorithms for the generation of referring expressions, this paper explores several problems that ...
As one of the most well- defined subtasks in NLG, the generation of referring expressions looks like a strong candidate for piloting such shared tasks. Based on ...
Feb 12, 2024 · We propose an intrinsic task-based evaluation for REG models, in which, in addition to rating the quality of REs, participants were asked to accomplish two ...
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Evaluation in Natural Language Generation: Lessons from Referring Expression Generation · J. ViethenR. Dale. Computer Science, Linguistics. TAL. 2007. TLDR.
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learn more about NLG/referring expression generation/document struc- turing ... A reference architecture for natural language gen- eration systems ...
Jun 18, 2024 · This book offers a series of in-depth studies of the REG-in-context task. It thoroughly explores various aspects of the task such as corpus selection, ...
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Evaluation in natural language generation: lessons from referring expression generation| Macquarie University ResearchOnline · jette viethen. 2007. As one of ...