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1. Research on entity extraction of demand for industry-university-research projects based on BERT-BiLSTM-CRF | |||
ZHANG Zhiqing,TAO Zekui | |||
Computer Science and Technology 04 January 2024 | |||
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Abstract:In order to realize the effective docking between schools and enterprises in industry-university-research cooperation projects and accurately obtain the technical needs of enterprises, based on the characteristics of concise and diversified texts of industry-university-research projects, a Chinese named entity extraction method based on BERT+BiLSTM+CRF model was proposed. Firstly, the BERT model is used to encode the input text, then the BiLSTM model is used to model the context to capture more comprehensive context information, and finally the label decoding is carried out through the CRF layer to obtain the optimal entity annotation results. Experimental results show that the proposed method is effective and feasible, and the extraction effect is better than that of the traditional method, which provides the possibility to solve the difficulties of technical demand information extraction, such as polysemy and language variants. | |||
TO cite this article:ZHANG Zhiqing,TAO Zekui. Research on entity extraction of demand for industry-university-research projects based on BERT-BiLSTM-CRF[OL].[ 4 January 2024] http://en.paper.edu.cn/en_releasepaper/content/4761868 |
2. A GDSF-M Cache Replacement Algorithm Based on Enterprise Reporting System | |||
LIANG Yuwei,XU Tong,ZHANG Lei,ZHANG Lejian | |||
Computer Science and Technology 14 December 2018 | |||
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Abstract:Enterprise-level reporting systems play a key role in the operation of E-business platforms.The enterprise business reporting system is characterized by large amount of data and regular operation. The core of the cache replacement strategy of the Web proxy server is the cache replacement algorithm, which can effectively improve the performance of the proxy server. In this paper we implement a business reporting system and study the traditional web cache replacement algorithm. Based on the GDSF algorithm, an improved GDSF-M algorithm is proposed, which considers the cache size. Factor, a report type weight function is added to the target value function to apply to the current application scenario. Finally, the performance of GDSF-M algorithm is verified by Squid proxy server. Compared with LRU, LFU and GDSF algorithm, it is proved that the improved GDSF-M algorithm has better improvement in hit rate and byte hit ratio. At the same time, the hit rate in the current scene has better stability than other algorithms. | |||
TO cite this article:LIANG Yuwei,XU Tong,ZHANG Lei, et al. A GDSF-M Cache Replacement Algorithm Based on Enterprise Reporting System[OL].[14 December 2018] http://en.paper.edu.cn/en_releasepaper/content/4746709 |
3. Data Storage And Process Policy Based On WoT Platform | |||
ZHAI Tian-Duo,JI Yang | |||
Computer Science and Technology 14 November 2013 | |||
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Abstract:Web of Things(WoT) consists of various of devices such as sensors, RFID devices, cellphones, cameras and so on. This determines the two characteristics of WoT data: heterogeneous and massive, and brings data storage huge challenges. Based on analysis of WoT data and recent work, this paper proposed a data storage management solution. A data model is devised for WoT data storage and a solution for heterogeneous data storage is introduced. Data processing to deal with the data duplication and the excessive growth of data has been done. | |||
TO cite this article:ZHAI Tian-Duo,JI Yang. Data Storage And Process Policy Based On WoT Platform[OL].[14 November 2013] http://en.paper.edu.cn/en_releasepaper/content/4569565 |
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