DH 2026
Daejeon, July 27–31
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Short Paper
ANNIE: An Extensible, GUI‑Driven Annotation Interface for Historical NLP and Medieval Hermeneutics ANNIE: An Extensible, GUI‑Driven Annotation Interface for Historical NLP and Medieval Hermeneutics
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Tamás Kovács
Universität Graz, Austria ·
tamas.kovacs@uni-graz.at
Guiseppe Consolo
Universität Graz, Austria ·
giuseppe.consolo@uni-graz.at
Johannes Laroche
Universität Graz, Austria ·
johannes.laroche@uni-graz.at
Georg Vogeler
Universität Graz, Austria ·
georg.vogeler@uni-graz.at
Topics
English
annotation structures
systems
and methods
artificial intelligence and machine learning
manuscripts description
representation
and analysis
natural language processing
software development
systems
analysis and methods
History
Humanities computing
Keywords
Historical NLP
Named Entity Recognition (NER)
Human-in-the-loop
Medieval Studies
Text Annotation
Workflow Stage
Time/Doc
Annotations
Gain
Manual only
7.3 min
13,240
—
+ Dictionary
5.9 min
16,150
+19 %
+ HuggingFace
4.1 min
23,480
+44 %
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