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Spatio-Temporal Mapping of Fang Fang’s Wuhan Diary: Applying Named Entity Recognition in Chinese Studies Cover

Spatio-Temporal Mapping of Fang Fang’s Wuhan Diary: Applying Named Entity Recognition in Chinese Studies

By:   
Open Access
|Jul 2026

Figures & Tables

Table 1

NER model comparison.

MODEL NAMEAUTHORSMSRA NER F1 SCORE
SYN-BiLSTM-CRFWu et al. (2025)90.0
DAE-NERLiu et al. (2024)91.4
N/ATang and Jiang (2024)93.4
ERNIE-GramXiao et al. (2021)95.3
CSMNERQi et al. (2024)96.2
LGDAJiang and Chen (2025)96.4
KCB-FLATDeng et al. (2024)96.6
Figure 1

Data processing flowchart.

Table 2

Description of location parameters in the dataset.

DICTIONARY ITEMSDESCRIPTION
KEYDATA TYPE
mentioned_this_dayIntegerThe number of times the location was mentioned on this day.
mentioned_totalIntegerThe number of times the location was mentioned in total.
labelString, EnglishThe NER classification.
contextString, ChineseThe first sentence in which the location was mentioned on this day.
validNullable booleanWhether the entry is a valid mappable location. True: shown on the map. False: not a valid location. Null: potentially a location, but not yet resolvable.
wuhanNullable booleanWhether the location is in Wuhan.
areaNullable booleanWhether the location is an area, e.g. a district.
latFloatThe latitude coordinates of the location.
lonFloatThe longitude coordinates of the location.
descriptionString, EnglishA short description or additional information about the location.
info_sourceString, linkA link to the source of the coordinates.
DOI: https://doi.org/10.5334/johd.544 | Journal eISSN: 2059-481X
Language: English
Page range: 97 - 97
Submitted on: Mar 31, 2026
Accepted on: Jul 1, 2026
Published on: Jul 21, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Thore Tyborski, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.