Revealing the technology development of natural language processing: A Scientific entity-centric perspective
Tài liệu tham khảo
Beltagy, 2019, SciBERT: A pretrained language model for scientific text, 3615
Brooks, 1980, Technology, evolution, and purpose, Daedalus, 109, 65
Chalkidis, 2020, LEGAL-BERT: The Muppets straight out of law school, 2898
Coccia, 2019, The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting, Technological Forecasting and Social Change, 141, 289, 10.1016/j.techfore.2018.12.012
Ding, 2013, Entitymetrics: Measuring the impact of entities, PLOS ONE, 8, e71416, 10.1371/journal.pone.0071416
Dzau, 2018, Health and societal implications of medical and technological advances, Science Translational Medicine, 10, eaau4778, 10.1126/scitranslmed.aau4778
Eberts, M., & Ulges, A. (2021). Span-based joint entity and relation extraction with transformer pre-training. arXiv. 10.3233/FAIA200321.
Funk, 2017, A dynamic network measure of technological change, Management Science, 63, 791, 10.1287/mnsc.2015.2366
Geng, 2023, Planarized sentence representation for nested named entity recognition, Information Processing & Management, 60, 10.1016/j.ipm.2023.103352
Guimerà, 2007, Classes of complex networks defined by role-to-role connectivity profiles, Nature Physics, 3, 10.1038/nphys489
Hingmire, S., Li, I., Kawamura, R., Chen, B., Fabbri, A., Tang, X., Liu, Y., George, T., Liao, T., Wong, W. P., Yan, V., Zhou, R., Palshikar, G. K., & Radev, D. (2021). CLICKER: A computational linguistics classification scheme for educational resources. arXiv. http://arxiv.org/abs/2112.08578.
Hou, 2021, TDMSci: a specialized corpus for scientific literature entity tagging of tasks datasets and metrics, 707
Hu, 2022, Study of the effectiveness of 5G mobile internet technology to promote the reform of English teaching in the Universities and Colleges, Computational Intelligence and Neuroscience, 2022, 1
Huang, 2022, Identification of topic evolution: Network analytics with piecewise linear representation and word embedding, Scientometrics, 127, 5353, 10.1007/s11192-022-04273-1
Järvelin, 1993, The evolution of library and information science 1965–1985: A content analysis of journal articles, Information Processing & Management, 29, 129, 10.1016/0306-4573(93)90028-C
Khan, 2022, Mobile internet technology adoption for sustainable agriculture: Evidence from wheat farmers, Applied Sciences, 12, 4902, 10.3390/app12104902
Lee, 2020, BioBERT: A pre-trained biomedical language representation model for biomedical text mining, Bioinformatics, 36, 1234, 10.1093/bioinformatics/btz682
Li, 2016, Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network, Physica A: Statistical Mechanics and Its Applications, 450, 657, 10.1016/j.physa.2016.01.017
Li, 2018, Co-mention network of R packages: Scientific impact and clustering structure, Journal of Informetrics, 12, 87, 10.1016/j.joi.2017.12.001
Liu, 2022, Effect of mobile internet technology in health management of heart failure patients guiding cardiac rehabilitation, Journal of Healthcare Engineering, 2022, 1
Liu, 2020, FinBERT: A pre-trained financial language representation model for financial text mining, 4513
Luan, 2018, Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction, 3219
Ma, 2023, From “what” to “how”: Extracting the procedural scientific information toward the metric-optimization in AI, Information Processing & Management, 60, 10.1016/j.ipm.2023.103315
Mao, 2020, Automatic keywords extraction based on co-occurrence and semantic relationships between words, IEEE Access, 8, 117528, 10.1109/ACCESS.2020.3004628
McHugh, 2012, Interrater reliability: The kappa statistic, Biochemia Medica, 22, 276, 10.11613/BM.2012.031
Mitcham, 1994
Mohammad, S. M. (.2019). The state of NLP literature: A diachronic analysis of the ACL anthology. arXiv. http://arxiv.org/abs/1911.03562.
Parmar, 2020, NLPExplorer: Exploring the universe of NLP papers, 476
Percia David, 2023, Measuring security development in information technologies: A scientometric framework using arXiv e-prints, Technological Forecasting and Social Change, 188, 10.1016/j.techfore.2023.122316
Rotolo, 2015, What is an emerging technology?, Research Policy, 44, 1827, 10.1016/j.respol.2015.06.006
Sigman, 2020, Telemedicine in reproductive medicine—Implications for technology and clinical practice, Fertility and Sterility, 114, 1125, 10.1016/j.fertnstert.2020.10.042
Skolnikoff, 1993
Sundheim, 1995, Named entity task definition, version 2.1
Tuomaala, 2014, Evolution of library and information science, 1965-2005: Content analysis of journal articles, Journal of the Association for Information Science and Technology, 65, 1446, 10.1002/asi.23034
Wang, 2014, Analyzing evolution of research topics with NEViewer: A new method based on dynamic co-word networks, Scientometrics, 101, 1253, 10.1007/s11192-014-1347-y
Wei, 2020, Don't eclipse your arts due to small discrepancies: Boundary repositioning with a pointer network for aspect extraction, 3678
Wei, 2020, A novel cascade binary tagging framework for relational triple extraction, 1476
Yao, 2023, Exploring developments of the AI field from the perspective of methods, datasets, and metrics, Information Processing & Management, 60, 10.1016/j.ipm.2022.103157
Yun, 2022, Technological trend mining: Identifying new technology opportunities using patent semantic analysis, Information Processing & Management, 59, 10.1016/j.ipm.2022.102993
Zaratiana, U., Holat, P., Tomeh, N., & Charnois, T. (2022). Hierarchical transformer model for scientific named entity recognition. arXiv. http://arxiv.org/abs/2203.14710.
Zhang, 2023, Guest editorial: Extraction and evaluation of knowledge entities in the age of artificial intelligence, Aslib Journal of Information Management, 75, 433, 10.1108/AJIM-05-2023-507
Zhang, 2017, Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics, Journal of the Association for Information Science and Technology, 68, 1925, 10.1002/asi.23814
Zhong, 2021, A frustratingly easy approach for entity and relation extraction, 50