抱狗不敢前 发表于 2025-3-23 12:03:39
http://reply.papertrans.cn/59/5841/584065/584065_11.pngOverthrow 发表于 2025-3-23 14:04:32
http://reply.papertrans.cn/59/5841/584065/584065_12.pngSLUMP 发表于 2025-3-23 18:06:35
Karl Knörr,Henriette Knörr-Gärtner,Fritz Karl Beller M. D., FACOG, FACS,Christian Lauritzeny of the AlphaGo Zero, MM-Match formalizes the problem of text matching with a Monte Carlo tree search (MCTS) enhanced Markov decision process (MDP) model, where the time steps corresponded to the positions in a match matrix from top left corner to down right corner, and each action corresponds to a男生如果明白 发表于 2025-3-23 22:31:02
Karl Knörr,Henriette Knörr-Gärtner,Fritz Karl Beller M. D., FACOG, FACS,Christian Lauritzen require a large-scale bilingual parallel corpus. The quality of the extracted paraphrases is affected by the quality of bilingual parallel corpora and word alignment. In this paper, we propose a method for Chinese paraphrases extraction. An online translation system is used to obtain the candidateEmployee 发表于 2025-3-24 04:13:38
http://reply.papertrans.cn/59/5841/584065/584065_15.pngRadiculopathy 发表于 2025-3-24 10:27:55
Karl Knörr,Henriette Knörr-Gärtner,Fritz Karl Beller M. D., FACOG, FACS,Christian Lauritzensm requires identifying CTS from reference paper according to citation sentence (citance) firstly. Therefore, CTS identification has then arisen the attention of many scholars since identified sentences will finally be aggregated for summary generation. Prior studies viewed this task as a text class吼叫 发表于 2025-3-24 12:43:34
http://reply.papertrans.cn/59/5841/584065/584065_17.pngMeasured 发表于 2025-3-24 15:00:38
http://reply.papertrans.cn/59/5841/584065/584065_18.pngcorrespondent 发表于 2025-3-24 20:59:38
http://reply.papertrans.cn/59/5841/584065/584065_19.pngAllergic 发表于 2025-3-24 23:32:33
Karl Knörr,Henriette Knörr-Gärtner,Fritz Karl Beller M. D., FACOG, FACS,Christian Lauritzensm requires identifying CTS from reference paper according to citation sentence (citance) firstly. Therefore, CTS identification has then arisen the attention of many scholars since identified sentences will finally be aggregated for summary generation. Prior studies viewed this task as a text class