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Titlebook: Natural Language Processing and Chinese Computing; 7th CCF Internationa Min Zhang,Vincent Ng,Hongying Zan Conference proceedings 2018 Sprin

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41#
發(fā)表于 2025-3-28 14:47:14 | 只看該作者
42#
發(fā)表于 2025-3-28 20:23:47 | 只看該作者
Bo Xu,Dongyu Zhang,Shaowu Zhang,Hengchao Li,Hongfei Linnt influence on “the definition of the feminine,”. whether in acceptance or repudiation of the model she provides. “In every century,” Lutheran scholar Jaroslav Pelikan writes, “she served as the model of patience, indeed of quietistic passivity and unquestioning obedience”:
43#
發(fā)表于 2025-3-29 02:27:11 | 只看該作者
Xinghua Zhang,Chunyue Zhang,Huaxing Shihl die Staukurve als auch die Senkungskurve k?nnen entweder im ganzen nach dem von Tolkmitt angegebenen Verfahren.) oder besser abschnittweise nach den Formeln von Wei?bach-Engels.) berechnet werden. Da indessen die Annahmen, auf Grund deren die verschiedenen Theorien aufgestellt sind, nur selten mi
44#
發(fā)表于 2025-3-29 03:58:04 | 只看該作者
Tingwei Wang,Xiaohua Yang,Chunping Ouyang,Aodong Guo,Yongbin Liu,Zhixing Li nucleotide sequence of cDNA and genomic clones of phaseolin established the presence of intervening sequences in higher plants in addition to other eukaryotic organisms. Our understanding of how plants defend themselves against pathogens has been considerably enhanced by the studies of Lamb and col
45#
發(fā)表于 2025-3-29 07:57:39 | 只看該作者
46#
發(fā)表于 2025-3-29 13:49:57 | 只看該作者
First Place Solution for NLPCC 2018 Shared Task User Profiling and Recommendationrole in social networking, such as targeting advertisement and personalized news feed. For NLPCC Task 8, there are two subtasks. Subtask one is User Tags Prediction (UTP), which is to predict tags related to a user. We consider UTP as a Multi Label Classification (MLC) problem and proposed a CNN-RNN
47#
發(fā)表于 2025-3-29 16:20:01 | 只看該作者
Summary++: Summarizing Chinese News Articles with Attentiond other aspects during our experiments. The task is News article summarization in Chinese, where one sentence is generated per article. We use a neural encoder decoder attention model with pointer generator network, and modify it to focus on words attented to rather than words predicted. Our model a
48#
發(fā)表于 2025-3-29 21:45:41 | 只看該作者
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發(fā)表于 2025-3-30 01:23:17 | 只看該作者
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