数字人文域外资讯(2021.11-2022.01)

Journal of the Association for Information Science and Technology发布了Special Issue on Digital Humanities……

整理者:尚闻一;转自:公众号 DH数字人文

信息提供:尚闻一,美国伊利诺伊大学厄巴纳香槟校区信息科学学院博士生

  • 1. Journal of the Association for Information Science and Technology发布了Special Issue on Digital Humanities(此前已有多篇文章先行在线刊出)包含landscapes of DH、Infrastructures of DH和Methodological innovations, challenges, and new interests in DH三个板块12篇文章:

https://asistdl.onlinelibrary.wiley.com/toc/23301643/2022/73/2

  • 2. 意大利Tor Vergata University of Rome的Fabio Ciotti在期刊Testo e Senso中发表了英文论文” Distant reading in literary studies: a methodology in quest of theory”,通过认知和文化演进的理论构建“远读”的理论模型,进而以“解释”(explanation)代替“阐发”(interpretation):

https://testoesenso.it/index.php/testoesenso/article/view/509/486

  • 3. 美国New York University的Ben Schmidt发布了2022年春季学期的课程(研究生讨论版) “Working with Data”,介绍数字人文理论的同时重点关注实操:

https://benschmidt.org/WWD22/

  • 4. 中国University of Hong Kong的Peter J. Cobb和Linnaeus University的Koraljka Colub在Education for Information发表了论文” Digital humanities degrees and supplemental credentials in Information Schools (iSchools)”,介绍全球信息学院数字人文相关学位和认证的情况并加以讨论:

https://content.iospress.com/articles/education-for-information/efi200452

  • 5. 爱尔兰Trinity College Dublin的Erik Ketzan和University of Trier的Christof Schöch发布了自动整理工具Coleto,用来区分和对比作品不同版本的文本变化,并加以分类和语境化:

http://digitalhumanities.org/dhq/vol/15/4/000579/000579.html

  • 6. 美国Carnegie Mellon University的Hannah Ringler在Digital Scholarship in the Humanities上发表了论文 “‘We can’t read it all’: Theorizing a hermeneutics for large-scale data in the humanities with a case study in stylometry”,通过文体学的案例研究讨论为计算文学研究发展诠释学理论的可能性:

https://t.co/rR3wip5aHw

  • 7. 荷兰Leiden University的Lauren Fonteyn和Enrique Manjavacas发布了数据模型“MacBERTh models”,由1450-1950年的历史英语文本预训练的自然语言处理模型BERT,供英语历史演变和前现代英语文本研究使用:

https://macberth.netlify.app/

  • 8. 美国Stanford University的Anna Mukamal和Menlo College的Lisa Mendelman在Journal of Cultural Analytics上发表了论文“The Generative Dissensus of Reading the Feminist Novel, 1995-2020: A Computational Analysis of Interpretive Communities”,综合使用主题建模等定量方法和定性方法讨论了女性主义小说的接受史:

https://culturalanalytics.org/article/30009-the-generative-dissensus-of-reading-the-feminist-novel-1995-2020-a-computational-analysis-of-interpretive-communities

  • 9. 美国UC Berkeley的David Bamman团队在成功发布了英语文学小说自然语言处理系统BookNLP,并上线了用Python语言编写、可由pip安装的库,包含part-of-speech tagging、dependency parsing、entity recognition、character name clustering and coreference resolution、quotation speaker identification、supersense tagging、event tagging、referential gender inference 等自然语言处理的基本功能:

https://github.com/booknlp/booknlp

  • 10. 由来自三位不同德国高校的学者担任主编的期刊Journal of Computational Literary Studies创刊,作为对数字人文日益细分的子领域的回应。第一期发表的论文同时2022年6月于Technical University of Darmstadt的会议上报告:

https://jcls.io/site/cfp/

  • 11. 美国新泽西州Rutgers University的Suzanne F. Boswell在期刊Extrapolation上发表了论文“Whatever it is that compels her to write so seldom: Network Analysis and the Decline of Women Writers in Pulp Science Fiction”,使用社会网络分析的方法分析了1926-1946的科幻小说女性作者参与度下降的原因:

https://www.liverpooluniversitypress.co.uk/journals/article/61993/#journal-references

  • 12. 荷兰Radboud University的Roel Smeets出版了新书Character Constellations: Representations of Social Groups in Present-Day Dutch Literary Fiction,使用数字方法研究当代荷兰语小说中的人物社群:

https://library.oapen.org/bitstream/handle/20.500.12657/51177/9789461664129.pdf?sequence=1

编辑:姜文涛

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