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融合多粒度语义表征的韩语文本分类模型研究
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作者 曾心怡 于娟 +1 位作者 李维婷 席运江 《情报探索》 2025年第7期1-9,共9页
[目的/意义]旨在解决现有韩语文本分类研究中的文本表征不全面和语义融合不充分问题。[方法/过程]首先提取韩语文本的词素、音节和句子等多层面信息,分别使用word2vec和KLUE-BERT对词性、词素、音节粒度和句子粒度进行语义向量表示,并通... [目的/意义]旨在解决现有韩语文本分类研究中的文本表征不全面和语义融合不充分问题。[方法/过程]首先提取韩语文本的词素、音节和句子等多层面信息,分别使用word2vec和KLUE-BERT对词性、词素、音节粒度和句子粒度进行语义向量表示,并通过CNN和BiLSTM提取词素和音节粒度的深度语义;然后使用多头注意力机制融合各粒度语义,获取文本的深度语义表征;在此基础上,将Softmax分类器扩展为多头分类器,从而构建能够同时处理各粒度语义信息的文本分类模型。[结果/结论]在三个代表性数据集上实验的结果表明,该模型比常用的韩语文本分类模型的F1值大约高3%。 展开更多
关键词 韩语 文本分类 语义表征 多粒度融合 深度学习
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Modeling and application of moderate prefetching strategy based on video slicing for P2P VoD systems 被引量:1
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作者 DENGGuang-qing weiting +3 位作者 CHENChang-jia ZHUWei WANGBin WUDeng-rong 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2012年第2期57-66,共10页
In peer-to-peer (P2P) video-on-demand (VoD) streaming systems, each peer contributes a fixed amount of hard disk storage (usually 2 GB) to store viewed videos and then uploads them to other requesting peers. How... In peer-to-peer (P2P) video-on-demand (VoD) streaming systems, each peer contributes a fixed amount of hard disk storage (usually 2 GB) to store viewed videos and then uploads them to other requesting peers. However, the daily hits (namely popularity) of different segments of a video is highly diverse, which means that taking the whole video as the basic storage unit may lead to redundancy of unpopular segment replicas and scarcity of popular segment replicas in the P2P storage network. To address this issue, we propose a video slicing mechanism (VSM) in which the whole video is sliced into small blocks (20 MB, for instance). Under VSM, peers can moderately remove unpopular blocks from and accordingly add popular ones into their contributed hard disk storage, which increases the usage of peers' contributed resource (storage and bandwidth). To reasonably assign bandwidth among peers with different download capacity, we propose a moderate prefetching strategy (MPS) based on VSM. Under MPS, when the amount of prefetched content reaches the predefined threshold, peers immediately stop prefetching video content and then release occupied bandwidth for others. A stochastic model is established to analyze the performance of the MPS and it is found that perfect playback continuity can be got under MPS. Then the MPS is applied to PPLive VoD system (one of the largest P2P VoD systems in China) and measurement results demonstrate that low server load and perfect user satisfaction can be achieved. Also, the server bandwidth contribution of PPLive VoD system under MPS (namely 5%) is much lower than that of UUSee VoD system (namely 30%). 展开更多
关键词 BANDWIDTH P2P VOD SLICING prefetch
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