Liu Liu
Skip Abstract Section
Abstract
Knowledge annotation and mining from ancient Chinese classics have become a new trend in digital humanities research in China, and historical persons get the most attention. However, few studies have focused exclusively on person names, which is rather important for understanding Chinese traditional culture. This study focused on person names in Chinese Pre-Qin classics. We conducted a humanities computing study on pre-Qin person name knowledge through an in-depth categorization and manual annotation of person name components. The results included the disambiguation of person names, a statistical distribution of famous persons, patterns in name components, and statistical analysis of name components. Furthermore, machine learning methods on the named entity recognition of person name knowledge were also examined, indicating the feasibility of future related research.
- . 2017. A new classification framework to evaluate the entity proiling on the Web: Past, present and future. ACM Computing Surveys 50, 3 (2017), 39:1–39:39. Google Scholar
Digital Library
- Bolin Chang, Chen Wan, Bin Li, Xinyu Chen, Minxuan Feng, and Dongbo Wang. 2021. The construction and application for digital humanities knowledge base of ancient books based on word and entity annotation: A case study on zhou qin han annals of zizhitongjian. Library and Information Service 65, 22 (2021), 134--142.Google Scholar
- . 2019. A Chinese ancient book digital humanities research platform to support digital humanities research. The Electronic Library 37, 2 (2019), 314–336. Google ScholarCross Ref
- . 2022. Debating and developing digital humanities in China. In New or Old? D. Fiormonte, S. Chaudhuri, and P. Ricaurte (Eds.), Debates in the Digital Humanities. University of Minnesota Press, Minneapolis, 71–86.Google Scholar
- Tao Chen, Wei Liu, Rongrong Shan, and Qinghua Zhu. 2019. Research on the application of knowledge graph in digital humanities. Journal of Library Science in China 45, 6 (2019), 34--49.Google Scholar
- Sanhong Deng, Haotian Hu, Hao Wang, and Dongbo Wang. 2021. Review of automatic processing of ancient chinese character and prospects for its development trends in new era. Scientific Information Research 3, 1 (2021), 1--20.Google Scholar
- Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), June 2019, Minneapolis, Minnesota. Association for Computational Linguistics, Minneapolis, Minnesota, 4171--4186. Google ScholarCross Ref
- Yue Du, Dongbo Wang, Chuan Jiang, Runhua Xu, Bin Li, Chao Xu, and Chenfei Xu. 2021. Construction and application of entity recognition model based on deep learning of classics in digital humanities. Library and Information Service 65, 3 (2021), 100--108.Google Scholar
- . 2019. A graph-based approach to person name disambiguation in Web. ACM Transactions on Management Information Systems 10, 2 (2019), 4:1–4:25. Google ScholarDigital Library
- . 2017. A semantic approach to cross-document person profiling in Web. AI Communications 30, 6 (2017), 363–391. Google ScholarDigital Library
- . 2018. Web person name disambiguation using social links and enriched profile information. Computing and Informatics 37 (2018), 1485–1515. Google ScholarCross Ref
- . 2017. Review and trend of researches on ancient Chinese character information processing. Library and Information Service 61, 12 (2017), 43–49.Google Scholar
- . 2015. Exploring of word segmentation for fore-Qin literature based on the domain glossary of sinological index series. Library and Information Service 59, 11 (2015), 127–133.Google Scholar
- X. Li. 1987. Archaeological discoveries and the ancient family name system. Archaeology 3 (1987), 253 -257 +241. 488Google Scholar
- . 1991. Several questions about pre-Qin people's names. Historical Research 05 (1991), 106–111.Google Scholar
- . 2020. Study on the extraction method of war events in Zuo Zhuan. Library and Information Service 64, 07 (2020), 20–29.Google Scholar
- . 2018. Exploring Chinese poetry with digital assistance: Examples from linguistic, literary, and historical viewpoints. Journal of Chinese Literature and Culture 5, 2 (2018), 276–321. Google ScholarCross Ref
- . 2020. Research on automatic extraction of historical events and construction of event graph based on historical records. Library and Information Service 64, 11 (2020), 116–124.Google Scholar
- Shuang Liu, Hui Yang, Jiayi Li, and Simon Kolmanič. 2021. Chinese Named Entity Recognition Method in History and Culture Field Based on BERT. International Journal of Computational Intelligence Systems 14, 1 (September 2021), 163. Google ScholarCross Ref
- 2022. Research on SikuBERT-enhanced entity recognition of historical records from the perspective of digital humanities. Library Tribune 42, 10 (2022), 61–72.Google Scholar
- . 2016. Visual analysis and exploration of ancient texts for digital humanities research. Journal of Library Science in China 42, 02 (2016), 66–80.Google Scholar
- 2021. AnchiBERT: A pre-trained model for ancient Chinese language understanding and generation. In Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN). 1–8. Google ScholarCross Ref
- . 2020. Harvesting big biographical data for Chinese history: The China biographical database (CBDB). Journal of Chinese History 中國歷史學刊 4, 2 (2020), 505–511. Google ScholarCross Ref
- . 2003. Images of Women in Chinese Thought and Culture: Writings from the Pre-Qin Period Through the Song Dynasty. Hackett Publishing Company. https://books.google.com.tw/books?id=xQiJWZNQZfgCGoogle Scholar
- . 2017. Automatically segmenting middle ancient Chinese words with CRFs. Data Analysis and Knowledge Discovery 1, 05 (2017), 62–70.Google Scholar
- . 2017. Researches of automatic part-of-speech tagging for pre-Qin literature based on multi-feature knowledge. Library and Information Service 61, 12 (2017), 64–70.Google Scholar
- 2022. Construction and application of pre-training model of “Siku Quanshu” oriented to digital humanities. Library Tribune 42, 6 (2022), 31–43.Google Scholar
- . 2019. An approach of constructing knowledge graph of the hundred schools of thought in ancient China. In Proceedings of the 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE, 335–336. Google ScholarDigital Library
- . 2017. The opening and application of Chinese historical geography data in digital humanities projects of libraries. Journal of Library Science in China 43, 02 (2017), 40–53.Google Scholar
- . 2018. Digital humanities perspective: A study on the visualization of political network in Song dynasty based on symbolic analysis. Journal of Library Science in China 44, 05 (2018), 87–103.Google Scholar
- . 2017. Study of female images in pre-Qin and Han dynasty literature. In Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME ’17). Atlantis Press, 74–77. Google ScholarCross Ref
- . 2019. Visualizing knowledge graph of academic inheritance in Song dynasty. Data Analysis and Knowledge Discovery 3, 6 (2019), 109–116.Google Scholar
- 2021. People name recognition from ancient Chinese literature using distant supervision and deep learning. In Proceedings of the 2021 2nd International Conference on Artificial Intelligence and Information Systems (ICAIIS ’21). Association for Computing Machinery, New York, NY, USA. Google ScholarDigital Library
Index Terms
- Perspective of Digital Humanities On Person Names in Chinese Pre-Qin Classic
Recommendations
A Context-Aware Automatic Chinese Transliterated Person Names Recognition Approach
SKG '12: Proceedings of the 2012 Eighth International Conference on Semantics, Knowledge and GridsChinese Transliterated Person Name (TP-Name) recognition is a special challenging task in Chinese unknown word recognition and Chinese word segmentation. Most of existing researches mainly focus on recognizing the names of Chinese person while seldom ...
Applications of collaborative annotation system in digital curation, crowdsourcing, and digital humanities
PurposeCollaboratively annotating digital texts allow users to add valued information, share ideas and create knowledge. Most importantly, annotated content can help users obtain a deeper and broader understanding of a text compared to digital content ...
Digital humanities: the continuing role of serendipity in historical research
iConference '12: Proceedings of the 2012 iConferenceEbooks are being integrated into academic library catalogs---either in addition to existing resources or as a substitute to print copies. This study examines the perceptions and opinions of historians about how Ebooks, and the digitization of cultural ...
Comments