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Titlebook: Empirical Methods in Natural Language Generation; Data-oriented Method Emiel Krahmer,Mari?t Theune Book 2010 Springer-Verlag Berlin Heidelb

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21#
發(fā)表于 2025-3-25 06:29:58 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/308867.jpg
22#
發(fā)表于 2025-3-25 09:41:38 | 只看該作者
Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generatioe intensive approaches used in symbolic concept-to-text generation. Our results demonstrate that these probabilistic models can be directly applied to content organization, and suggest that these models can prove useful in an even broader range of text-to-text applications than we have considered he
23#
發(fā)表于 2025-3-25 15:37:04 | 只看該作者
24#
發(fā)表于 2025-3-25 17:27:25 | 只看該作者
Human Evaluation of a German Surface Realisation Rankerave fairly strong correlations to the human judgements. In contrast, on a naturalness judgement task, the correlation between the human judgements and the automatic metrics was quite weak, the General Text Matcher (GTM) tool providing the only metric that correlates with the human judgements at a st
25#
發(fā)表于 2025-3-25 23:17:27 | 只看該作者
26#
發(fā)表于 2025-3-26 00:43:30 | 只看該作者
Book 2010 teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
27#
發(fā)表于 2025-3-26 04:36:29 | 只看該作者
https://doi.org/10.1007/978-3-642-68264-3e intensive approaches used in symbolic concept-to-text generation. Our results demonstrate that these probabilistic models can be directly applied to content organization, and suggest that these models can prove useful in an even broader range of text-to-text applications than we have considered he
28#
發(fā)表于 2025-3-26 12:22:39 | 只看該作者
29#
發(fā)表于 2025-3-26 14:54:24 | 只看該作者
Intravenous Infusion and Flow Rate,ave fairly strong correlations to the human judgements. In contrast, on a naturalness judgement task, the correlation between the human judgements and the automatic metrics was quite weak, the General Text Matcher (GTM) tool providing the only metric that correlates with the human judgements at a st
30#
發(fā)表于 2025-3-26 19:00:50 | 只看該作者
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