分类: 计算机科学 >> 自然语言理解与机器翻译 分类: 图书馆学、情报学 >> 情报过程自动化的方法和设备 提交时间: 2019-10-29
摘要: Purpose: Move recognition in scientific abstracts is an NLP task of classifying sentences of the abstracts into different types of language unit. To improve the performance of move recognition in scientific abstracts, a novel model of move recognition is proposed that outperforms BERT-Base method. Design: Prevalent models based on BERT for sentence classification often classify sentences without considering the context of the sentences. In this paper, inspired by the BERT's Masked Language Model (MLM), we propose a novel model called Masked Sentence Model that integrates the content and contextual information of the sentences in move recognition. Experiments are conducted on the benchmark dataset PubMed 20K RCT in three steps. And then compare our model with HSLN-RNN, BERT-Base and SciBERT using the same dataset. Findings: Compared with BERT-Base and SciBERT model, the F1 score of our model outperforms them by 4.96% and 4.34% respectively, which shows the feasibility and effectiveness of the novel model and the result of our model comes closest to the state-of-the-art results of HSLN-RNN at present. Research Limitations: The sequential features of move labels are not considered, which might be one of the reasons why HSLN-RNN has better performance. And our model is restricted to dealing with bio-medical English literature because we use dataset from PubMed which is a typical bio-medical database to fine-tune our model. Practical implications: The proposed model is better and simpler in identifying move structure in scientific abstracts, and is worthy for text classification experiments to capture contextual features of sentences. Originality: The study proposes a Masked Sentence Model based on BERT which takes account of the contextual features of the sentences in abstracts in a new way. And the performance of this classification model is significantly improved by rebuilding the input layer without changing the structure of neural networks.
分类: 图书馆学、情报学 >> 情报资料的利用 提交时间: 2019-06-27
摘要: 阐述在新的信息和知识环境中知识服务的价值定位、本质内涵,以及对高校图书馆转型的意义。分析了在高校图书馆的视野下知识服务与泛在的学科服务的本质区别,以及当前高校图书馆为了更深入地开展知识服务,在认知、理论以及实践上所应该突破的屏障。提出了知识产品是知识服务的一种重要形式,知识产品的水平是图书馆核心价值和能力的直接体现。此外,本文从理论的角度对知识产品的概念、属性、类型和生产原则给出了较明确、系统的解释和描述。
分类: 图书馆学、情报学 >> 图书馆学 提交时间: 2019-03-17
摘要: 文梳理了科技预印本库的国际发展趋势;从国际重要预印本库自身、科研基金为代表的科技管理部门、以及科技期刊三个方面,分析了当前预印本交流的相关政策动向;研究提出了我国科技预印本库建设中面临的五个政策挑战:政策定位不清晰,政策机制不完善、高层管理政策缺失、得不到期刊出版政策支持、政策起点高度不够;最后提出了发展我国科技预印本交流体系的四条政策建议。
分类: 图书馆学、情报学 >> 图书馆学 提交时间: 2019-01-04
摘要: 本文从科学计量学和科学知识图谱的视角,对“一带一路”沿线72个国家在图书情报领域的研究论文数量、国家和地区分布、研究机构、研究方向等方面进行了分析,研究结果将为推动我国“一带一路”战略以及与沿线国家在图书情报领域的科技合作提供参考。