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Transcribing the Past, Contextualizing the Present: AI-Assisted Document Contextualization, Limits, and Opportunities (Workshop)
Session Topics:
artificial intelligence and machine learning, data publishing projects, systems, and methods, database creation, management, and analysis, manuscripts description, representation, and analysis, History, Humanities computing, Library & information science, I plan to attend the conference on-site in Lisbon
Presentations
Transcribing the Past, Contextualizing the Present: AI-Assisted Document Contextualization, Limits, and Opportunities (Workshop)
Anita Lucchesi 1 , Sean Takats 2
1 Casa de Oswaldo Cruz, Fiocruz, Brazil / Digital Scholar; 2 Centre for Contemporary and Digital History, C²DH / Digital Scholar
This workshop explores AI-assisted workflows for facilitating knowledge discovery in historical research, focusing on transcription, data contextualization, and metadata augmentation. Tropy demo projects will serve as testbeds for applying HTR, OCR, and NLP techniques. The agenda includes discussions on AI’s opportunities, limitations, and ethical dilemmas.