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樓主
發(fā)表于 2025-3-21 18:07:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Grading Knowledge
編輯Steffen Staab
視頻videohttp://file.papertrans.cn/388/387746/387746.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: ;
出版日期Book 19991st edition
版次1
doihttps://doi.org/10.1007/3-540-46618-5
isbn_softcover978-3-540-66934-0
isbn_ebook978-3-540-46618-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
The information of publication is updating

書目名稱Grading Knowledge影響因子(影響力)




書目名稱Grading Knowledge影響因子(影響力)學科排名




書目名稱Grading Knowledge網絡公開度




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沙發(fā)
發(fā)表于 2025-3-21 20:15:08 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:51:15 | 只看該作者
The Entity-Relationship Model,tions describe patterns of intercorrelation comparisons which may hold between pairs of class norms. Intercorrelation comparisons, absolute comparisons and relative comparisons exhaustively form the class of general comparison relations. They may all use a modifier distance in order to describe expr
地板
發(fā)表于 2025-3-22 04:52:40 | 只看該作者
https://doi.org/10.1057/9780230276079techniques has of course been that earlier promises of deep understanding were disappointed due to the computational complexityin volved in comprehensive frameworks. Though the most comprehensive frameworks may, perhaps, take into account the manylinguistic difficulties that free text mayin volve, t
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發(fā)表于 2025-3-22 10:21:34 | 只看該作者
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發(fā)表于 2025-3-22 15:43:22 | 只看該作者
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發(fā)表于 2025-3-22 18:09:14 | 只看該作者
us, could not be made available through the semantic interpretation. For instance, the meaning of an utterance like (5.1a) must be reconstructed to be similar to the meaning of the paraphrase in (5.1b).
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發(fā)表于 2025-3-23 00:03:21 | 只看該作者
Relative Comparisons,us, could not be made available through the semantic interpretation. For instance, the meaning of an utterance like (5.1a) must be reconstructed to be similar to the meaning of the paraphrase in (5.1b).
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發(fā)表于 2025-3-23 02:19:01 | 只看該作者
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發(fā)表于 2025-3-23 05:40:04 | 只看該作者
Representation and Inferences,on their representation. Hence, a representation and inferencing approach is proposed which outperforms its competitors on all major criteria, even though it is still far from covering all degree expressions in natural language. This approach is also interesting from the point of view of where it originated, viz. temporal reasoning.
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