Titlebook: Chinese Computational Linguistics; 18th China National Maosong Sun,Xuanjing Huang,Yang Liu Conference proceedings 2019 Springer Nature Swi

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書目名稱Chinese Computational Linguistics影響因子(影響力)




書目名稱Chinese Computational Linguistics影響因子(影響力)學科排名




書目名稱Chinese Computational Linguistics網(wǎng)絡公開度




書目名稱Chinese Computational Linguistics網(wǎng)絡公開度學科排名




書目名稱Chinese Computational Linguistics被引頻次




書目名稱Chinese Computational Linguistics被引頻次學科排名




書目名稱Chinese Computational Linguistics年度引用




書目名稱Chinese Computational Linguistics年度引用學科排名




書目名稱Chinese Computational Linguistics讀者反饋




書目名稱Chinese Computational Linguistics讀者反饋學科排名

DEMUR

0302-9743 ng, minority language processing, language resource and evaluation, social computing and sentiment analysis, NLP applications..978-3-030-32380-6978-3-030-32381-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

縮減了

Honglu Sun,Maxime Folschette,Morgan Magnin options to generate the representation of options. Finally, we fed into a max-pooling layer to obtain the ranking score for each opinion. Experiments show that our proposed achieve state-of-art performance on the Chinese opinion questions machine reading comprehension datasets in AI challenger competition.

大看臺

Reachability in Succinct One-Counter Games,just the dependency arc to optimize the construction process of GCNs. Experiments show that the model combined with the graph convolution network is better than the original model, and the performance in the Google sentence compression dataset has been effectively improved.

高談闊論

青少年

Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension options to generate the representation of options. Finally, we fed into a max-pooling layer to obtain the ranking score for each opinion. Experiments show that our proposed achieve state-of-art performance on the Chinese opinion questions machine reading comprehension datasets in AI challenger competition.

青少年

Veneer

Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matchinging the context from syntactic tree. Experimental results on SNLI and SciTail datasets demonstrate that our model has the ability to model NLI more precisely and significantly improves the performance.

Infect

Conference proceedings 2019r 2019. The 56 full papers presented in this volume were carefully reviewed and selected from 134 submissions. They were organized in topical sections named: linguistics and cognitive science, fundamental theory and methods of computational linguistics, information retrieval and question answering,

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