… 但 RNN 相对于HMM 主要有以下… RNN 是连续的 向量表示, 在面对高维度的隐状态情况下,
RNN 的 表示效率更高; 2) HMM 的隐状态转换是线性的, 而RNN 的隐状态转换是高度非线性的, RNN …

… subtitle summarization. Both advantages from Convolutional Neural Networks (CNNs) and
… Zhao, "Neural document summarization by jointly learning to score and select sentences", In …

… Hybrid approaches offer several advantages, including … Integrating embedding vectors
to the self-attention-based … utilizes bidirectional encoder representations in a hybrid …

… In summary, researchers have carried out various machine-… We focused on the effect of
several improvements mentioned … A potential reason might be that the attention-based method …

… To summarize, the main contributions of this thesis are as … The ASR system employed in this
thesis adopted the hybrid … , we can obtain consistent improvements over MBERT in isolation. …

… -BiLSTM (contextual-based bi-directional long short-term memory) 获取文本,音频和视频的
上下文相关的单模态特征, 然后用AT-BiGRU(attention-based bi-directional gated recurrent unit)…

… The characteristics, advantages and disadvantages of each … 了一种使用双向LSTM 模型的
混合循环注意机 (hybrid recurrent … ),还设计了一个ARNN(attention-based RNN)组 件来捕捉用户…

… , the advantages of each type of named entity recognition methods in electronic medical
records are summarized … A hybrid approach for named entity recognition in Chinese electronic …

… 目前的做法是综合这些方法 的优点, 结合具体任务, 进行模型选择或组合, 改进模型例如长短时
记忆模型LSTM,双向循环神经网络Bi_RNN (bi-directional recurrent neural network) 等. 另外, …

… comprehensive analysis and summarization on recent multi… 力的LSTM(contextual
attention-based LSTM,CAT-LSTM)模型… field images with deep attention-based bidirectional …