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Titlebook: Natural Language Processing and Chinese Computing; 10th CCF Internation Lu Wang,Yansong Feng,Ruifang He Conference proceedings 2021 Springe

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樓主: MIFF
41#
發(fā)表于 2025-3-28 18:15:34 | 只看該作者
Chinese Macro Discourse Parsing on Dependency Graph Convolutional Networkourse tree at paragraph level. Most existing methods follow micro-level studies and suffer from the issues of semantic representation and the semantic interaction of the larger macro discourse units. Therefore, we propose a macro-level discourse parser based on the dependency graph convolutional net
42#
發(fā)表于 2025-3-28 21:06:12 | 只看該作者
Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememegorial sememe, indicating the basic category of word sense to bridge the lexicon and semantics, is indispensable in SKB. However, manual categorial sememe annotation is costly. This paper proposes a new task to automatically build SKB: English-Chinese Word Pair Categorial Sememe Prediction. The bil
43#
發(fā)表于 2025-3-29 00:21:33 | 只看該作者
44#
發(fā)表于 2025-3-29 03:35:12 | 只看該作者
45#
發(fā)表于 2025-3-29 10:21:17 | 只看該作者
46#
發(fā)表于 2025-3-29 14:47:49 | 只看該作者
47#
發(fā)表于 2025-3-29 17:24:45 | 只看該作者
48#
發(fā)表于 2025-3-29 20:29:05 | 只看該作者
49#
發(fā)表于 2025-3-30 00:45:07 | 只看該作者
50#
發(fā)表于 2025-3-30 05:24:19 | 只看該作者
Adaptive Transformer for Multilingual Neural Machine Translationaining cost. However, the all-shared translation model often yields degraded performance due to the modeling capacity limitations and language diversity. Moreover, it has been revealed in recent studies that the shared parameters lead to negative language interference although they may also facilita
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