An approach for detecting the commonality and specialty between scientific publications and patents
暂无分享,去创建一个
Guancan Yang | Xin An | Liyuan Hao | Shuo Xu | Ling Li | Shuo Xu | Xin An | Liyuan Hao | Guancan Yang | Ling Li
[1] Chao Lu,et al. Examining scientific writing styles from the perspective of linguistic complexity , 2018, J. Assoc. Inf. Sci. Technol..
[2] Mu-Hsuan Huang,et al. Increasing science and technology linkage in fuel cells: A cross citation analysis of papers and patents , 2015, J. Informetrics.
[3] Mohamed S. Kamel,et al. Extracting domain-specific stopwords for text classifiers , 2017, Intell. Data Anal..
[4] Christopher J. Fox,et al. A stop list for general text , 1989, SIGF.
[5] Zheng Wang,et al. Overlapping thematic structures extraction with mixed-membership stochastic blockmodel , 2018, Scientometrics.
[6] Ichiro Sakata,et al. Extracting the commercialization gap between science and technology — Case study of a solar cell , 2010 .
[7] Kun Ding,et al. Hybrid documents co-citation analysis: making sense of the interaction between science and technology in technology diffusion , 2012, Scientometrics.
[8] Shuo Xu,et al. A CRF-based system for recognizing chemical entity mentions (CEMs) in biomedical literature , 2015, Journal of Cheminformatics.
[9] Lan Du,et al. Differential Topic Models , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Till Albert. Measuring Technology Maturity , 2016 .
[11] Ichiro Sakata,et al. Detecting potential technological fronts by comparing scientific papers and patents , 2011 .
[12] Chandan K. Reddy,et al. Probabilistic Topic Modeling for Comparative Analysis of Document Collections , 2020, ACM Trans. Knowl. Discov. Data.
[13] James Hartley,et al. Abstracts, introductions and discussions: How far do they differ in style? , 2003, Scientometrics.
[14] Yunliang Zhang,et al. Reviews on Determining the Number of Clusters , 2016 .
[15] Michel Zitt,et al. Patents and Publications , 2004 .
[16] Thomas Ackermann,et al. Patent data as indicators of wind power technology development , 2011 .
[17] Yuya Kajikawa,et al. Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies , 2016, J. Informetrics.
[18] Shuo Xu,et al. Emerging research topics detection with multiple machine learning models , 2019, J. Informetrics.
[19] Shuo Xu,et al. A deep learning based method for extracting semantic information from patent documents , 2020, Scientometrics.
[20] Jiancheng Guan,et al. Measuring science–technology interactions using patent citations and author-inventor links: an exploration analysis from Chinese nanotechnology , 2011 .
[21] Ed C. M. Noyons,et al. Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field , 2008, J. Informetrics.
[22] Shuo Xu,et al. A novel method for topic linkages between scientific publications and patents , 2019, J. Assoc. Inf. Sci. Technol..
[23] Xiaofei Lu,et al. Automatic analysis of syntactic complexity in second language writing , 2010 .
[24] Ludo Waltman,et al. Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.
[25] Harvey Brooks,et al. The relationship between science and technology , 1994 .
[26] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[27] Theresa Schmiedel,et al. Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture , 2018 .
[28] Ali Gazni,et al. Are the abstracts of high impact articles more readable? Investigating the evidence from top research institutions in the world , 2011, J. Inf. Sci..
[29] Zheng Wang,et al. Semantic relation extraction aware of N-gram features from unstructured biomedical text , 2018, J. Biomed. Informatics.
[30] Gerard Salton,et al. On the Specification of Term Values in Automatic Indexing , 1973 .
[31] Shuo Xu,et al. Types of DOI errors of cited references in Web of Science with a cleaning method , 2019, Scientometrics.
[32] Dana R. Ferris,et al. Lexical and Syntactic Features of ESL Writing by Students at Different Levels of L2 Proficiency , 1994 .
[33] Martin Gerlach,et al. A universal information theoretic approach to the identification of stopwords , 2019, Nature Machine Intelligence.
[34] Kimberly S. Hamilton,et al. The increasing linkage between U.S. technology and public science , 1997 .
[35] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[36] Koenraad Debackere,et al. Linking science to technology: Using bibliographic references in patents to build linkage schemes , 2004, Scientometrics.
[37] Shuo Xu,et al. An improved patent similarity measurement based on entities and semantic relations , 2021, J. Informetrics.
[38] Marcelo A. Montemurro,et al. Towards the Quantification of the Semantic Information Encoded in Written Language , 2009, Adv. Complex Syst..
[39] Zenghui Yue,et al. Topic-linked innovation paths in science and technology , 2020, J. Informetrics.
[40] Shuo Xu,et al. A topic models based framework for detecting and forecasting emerging technologies , 2021 .
[41] Judit Kormos,et al. Task complexity and linguistic and discourse features of narrative writing performance , 2011 .
[42] L. Ortega. Syntactic Complexity Measures and Their Relationship to L2 Proficiency: A Research Synthesis of College-Level L2 Writing. , 2003 .
[43] Wolfgang Glänzel,et al. Patents cited in the scientific literature: An exploratory study of 'reverse' citation relations , 2004, Scientometrics.