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Titlebook: Information Retrieval; 27th China Conferenc Hongfei Lin,Min Zhang,Liang Pang Conference proceedings 2021 Springer Nature Switzerland AG 202

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LDA-Transformer Model in Chinese Poetry Authorship Attributiontical evaluations for the proposed method on three Chinese poetry datasets. The experimental results suggest that the topic feature can effectively improve the performance of authorship attribution in Chinese poetry. Our model achieves state-of-the-art results on related baseline methods.
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A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification, the Pre-LN Transformer places the normalization layer in the residual block to make the model more stable. On this basis, we reconstruct the Vader lexicon and further integrate sentiment lexical features extracted from the lexicon into the model. We perform sentiment classification tasks on two pu
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Evaluation of Learning Effect Based on Online Dataiginal data is processed, and new features are constructed from the original data according to the factors that affect the learning effect. Then use several different methods to select the features that have the most significant impact on the learning effect, and use several regression methods to pr
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Fuyao Zhang,Yijia Zhang,Shuo Hou,Fei Chen,Mingyu Lus such as those triggered by the abuse of millimeter wave scanners deployed at severalWestern European airports will demonstrate that there are costs involved with regard to human rights. The third, analytical part takes the critical discussion further by arguing that the uncritical fielding of new
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lity in general). Some Chinese police forces for example already make use of ‘smart glasses’ in order to identify suspects just by looking at them. I conclude this chapter with some critical remarks on this ‘Minority Report’-style policing of the (near) future.
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