删减 发表于 2025-3-23 12:15:36
Lotte Rose,Ute Dithmarstopwords removing of TCM cases, which improved 0.087 compared with no TCM stopwords removing. This paper introduces natural language processing into the TCM auxiliary diagnosis problem, in order to improve the informationization, standardization and intelligence of TCM in the new era.Intersect 发表于 2025-3-23 17:27:50
http://reply.papertrans.cn/88/8728/872783/872783_12.png丧失 发表于 2025-3-23 19:10:23
http://reply.papertrans.cn/88/8728/872783/872783_13.png吸引力 发表于 2025-3-23 22:59:38
http://reply.papertrans.cn/88/8728/872783/872783_14.pngFlat-Feet 发表于 2025-3-24 03:17:51
Christina Wodtkeodels, as they have obtained state-of-the-art results on related tasks. Besides, it is also worth noticing that, to our knowledge, this is the first study that apply the extractive method for question answering to Chinese ellipsis resolution. The results of the experiments show that it is possible f粘 发表于 2025-3-24 09:24:36
Benedikt Sturzenheckerodels, as they have obtained state-of-the-art results on related tasks. Besides, it is also worth noticing that, to our knowledge, this is the first study that apply the extractive method for question answering to Chinese ellipsis resolution. The results of the experiments show that it is possible f背书 发表于 2025-3-24 13:58:53
Margit Auerers. The experimental results show that our approach achieves superior performance over the basic pre-trained models BERT, BERT-wwm and ERNIE on different Chinese NLP tasks: sentiment classification, sentence pair matching, natural language inference and machine reading comprehension. We make furthe新星 发表于 2025-3-24 17:21:21
http://reply.papertrans.cn/88/8728/872783/872783_18.png新星 发表于 2025-3-24 21:01:18
http://reply.papertrans.cn/88/8728/872783/872783_19.pngBlasphemy 发表于 2025-3-24 23:31:16
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