V切开 发表于 2025-3-25 05:07:27

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organic-matrix 发表于 2025-3-25 08:39:29

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FID 发表于 2025-3-25 12:49:17

Co-attention and Aggregation Based Chinese Recognizing Textual Entailment Modelaggregates this feature with another feature obtained from sentences. Our model achieved 93.5% accuracy on CCL2018 textual entailment dataset, which is higher than the first place in previous evaluations. Experimental results showed that recognition of contradiction relations is difficult, but our m

肮脏 发表于 2025-3-25 16:24:53

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excrete 发表于 2025-3-25 22:36:54

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Seizure 发表于 2025-3-26 00:46:18

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archenemy 发表于 2025-3-26 07:08:06

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debble 发表于 2025-3-26 12:29:20

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PATHY 发表于 2025-3-26 13:45:06

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carotenoids 发表于 2025-3-26 17:23:03

An Improved Class-Center Method for Text Classification Using Dependencies and WordNetdencies and the WordNet dictionary. Experiments show that, compared with traditional text classification algorithms, the improved class-center vector method has lower time complexity and higher accuracy on a large corpus.
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查看完整版本: Titlebook: Natural Language Processing and Chinese Computing; 8th CCF Internationa Jie Tang,Min-Yen Kan,Hongying‘Zan Conference proceedings 2019 Sprin