数字人文研究 ›› 2023, Vol. 3 ›› Issue (2): 3-14.

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数字人文文化分析领域及大语言模型应用前景解析———马修·威尔肯斯博士访谈

马修·威尔肯斯(Matthew Wilkens),康奈尔大学信息学院信息科学系副教授; 杨晓燕(通讯作者),荷兰格罗宁根大学计算语言学博士研究生,Email:xiaoyan. yang@ rug. nl。
  

  1. 康奈尔大学信息学院信息科学系;荷兰格罗宁根大学
  • 出版日期:2023-08-17 发布日期:2023-08-17

Analysis of the Digital Humanities Culture Analytics Field and Application Prospect of Large Language Models—Interview with Professor Matthew Wilkens

  • Online:2023-08-17 Published:2023-08-17

摘要:

使用数字人文方法的文化分析,是将数学、统计学和社会科学的定量方法应用于大规模、复杂的社会和文化数据集分析的一类研究。 文章是对该领域的活跃学者———康奈尔大学信息科学系副教授马修·威尔肯斯博士的采访,探讨内容包括领域现状、研究经验、未来展望、教育思想等。马修·威尔肯斯博士认为,数字人文文化分析的方法和技术具有可迁移性,但要避免普遍化和泛化的冲动,该领域仍然面临技术和观念两方面的挑战,尤其是观念上的,比如,文化进化等文学历史问题无法依靠细读解决、某些量化研究的内核仍然是人文主义等观点仍然难获接受。 观念变革的艰难将使人文学科内部的数字人文研究出现停滞,目前已有迹象,而增长将出现在信息科学等技术学科中。 与此同时,当前发展迅速的大语言模型和 AI 生成内容(AIGC)在文化分析领域有很大的应用潜力,人文学者与大语言模型的开发者合作将是一个重要趋势。

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Abstract:

Cultural analytics under the digital humanities is a research field where scholars combine quantitative analysis from mathematics,statistics,and social sciences with complex large-scale social and cultural datasets. The article is an interview with Dr. Matthew Wilkens of Cornell University,an active scholar in this field. It includes an introduction to the current situation of the field,his research experience,prospects,educational ideas,and more. Dr. Wilkens believes that the methods and technologies of digital humanistic culture analysis are transferable,but to avoid the impulse of generalization and generalization,the field still faces two major challenges: one technical and one conceptual.In particular,the idea that literary and historical problems such as cultural evolution cannot be solved by close reading and that the core of some quantitative research is still humanism is still difficult to accept. This difficulty of conceptual change will make digital humanities research within the humanities stagnate. At present,there are signs that the growth of digital humanities will occur in information science and other technical disciplines. At the same time,the rapidly developing large-scale generative models have great application potential in the field of cultural analytics. It will be an important trend for humanists to cooperate with developers of large-scale language models in the future.

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