#digital-humanities News & Analysis

6 articles tagged with #digital-humanities. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

6 articles

AINeutralarXiv – CS AI · Jun 96/10

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Page image classifier fine-tuned on century-spanning archives of scanned documents for further content-specific processing

Researchers developed an automated image classification system using fine-tuned deep learning models to categorize scanned historical documents by content type (text, tables, graphics), achieving 99.16% accuracy on Czech archaeological archives. The system successfully processed over 649,000 unlabeled pages, with RegNetY-16GF emerging as the most reliable model for production deployment due to consistent inter-model agreement.

AINeutralarXiv – CS AI · Jun 25/10

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Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks

Researchers present a machine learning architecture combining BERT and Graph Neural Networks to automatically extract entities and relationships from historical texts and construct structured knowledge graphs. The system demonstrates superior performance compared to traditional rule-based methods when processing complex historical documents with linguistic ambiguities and implicit references.

AINeutralarXiv – CS AI · May 126/10

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From Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance Languages

Researchers conducted a systematic evaluation of large language models for part-of-speech tagging in Medieval Romance languages, comparing them against traditional taggers. The study demonstrates that LLM-based approaches with fine-tuning and cross-lingual transfer learning significantly outperform conventional methods, offering practical applications for digital humanities research on historical texts.

AINeutralarXiv – CS AI · May 125/10

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Matching Meaning at Scale: Evaluating Semantic Search for 18th-Century Intellectual History through the Case of Locke

Researchers evaluate semantic search as a tool for analyzing 18th-century intellectual history, specifically tracking how John Locke's ideas circulated through paraphrases and implicit references. While semantic search substantially outperforms traditional lexical methods at capturing meaning-level correspondences, linguistic analysis reveals that retrieval remains constrained by surface-level vocabulary overlap, suggesting both promise and limitations for historical corpus analysis.

AINeutralarXiv – CS AI · Apr 206/10

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LLMbench: A Comparative Close Reading Workbench for Large Language Models

LLMbench is a new browser-based tool that enables detailed comparative analysis of large language model outputs through side-by-side visualization and token-level probability inspection. Unlike existing quantitative comparison tools, it applies digital humanities methodology to make the probabilistic structure of LLM-generated text legible through multiple analytical overlays and visualization modes.

AINeutralarXiv – CS AI · Apr 145/10

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Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning

Researchers have developed GEVO, a glyph-driven fine-tuning framework for multimodal large language models designed to analyze the evolution of ancient Chinese characters. The study introduces a comprehensive benchmark with 11 tasks and over 130,000 instances, demonstrating that even smaller 2B-scale models can achieve significant performance improvements in understanding character evolution and historical text transformation.