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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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书目名称Information Retrieval
副标题27th China Conferenc
编辑Hongfei Lin,Min Zhang,Liang Pang
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Retrieval; 27th China Conferenc Hongfei Lin,Min Zhang,Liang Pang Conference proceedings 2021 Springer Nature Switzerland AG 202
描述This book constitutes the refereed proceedings of the 27th China Conference on Information Retrieval, CCIR 2021, held in Dalian, China, in October 2021..The 15 full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections: search and recommendation, NLP for IR, IR in Education, and IR in Biomedicine..
出版日期Conference proceedings 2021
关键词artificial intelligence; computational linguistics; computer networks; computer science; computer system
版次1
doihttps://doi.org/10.1007/978-3-030-88189-4
isbn_softcover978-3-030-88188-7
isbn_ebook978-3-030-88189-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

书目名称Information Retrieval影响因子(影响力)




书目名称Information Retrieval影响因子(影响力)学科排名




书目名称Information Retrieval网络公开度




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书目名称Information Retrieval被引频次




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书目名称Information Retrieval年度引用




书目名称Information Retrieval年度引用学科排名




书目名称Information Retrieval读者反馈




书目名称Information Retrieval读者反馈学科排名




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Self-training vs Pre-trained Embeddings for Automatic Essay Scoringe propose an effective solution to the above problem, an automatic essay scoring method that includes pre-trained and self-training word embeddings. We conducted experiments on a public available dataset, including 8 subsets, and the experimental results show the effectiveness of this method.
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Interaction-Based Document Matching for Implicit Search Result Diversificationmental results show that our proposed framework can outperform previous state-of-the-art implicit and explicit diversification approaches significantly, and even slightly outperforms ensemble diversification approaches. Besides, with our proposed strategies the online ranking latency of our framework is moderate and affordable.
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Iterative Strict Density-Based Clustering for News Streamughout the news stream by iteratively splitting growing clusters. We further apply multilingual-sentence-bert instead of word embedding as the news encoder to improve the news representation quality. We conduct comprehensive experiments on two datasets and demonstrate the superiority of our proposed method.
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Enhanced Hierarchical Structure Features for Automated Essay Scoringthose structured coherence and discourse information from the graph aggregation. We conduct several experiments on ASAP dataset and the experimental results demonstrate the effectiveness of our method.
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