Research Paper#Natural Language Processing, Digital Humanities, Text Reuse Detection🔬 ResearchAnalyzed: Jan 3, 2026 18:43
Automatic Detection of Biblical Quotations in Rabbinic Literature
Analysis
This paper introduces ACT, a novel algorithm for detecting biblical quotations in Rabbinic literature, specifically addressing the limitations of existing systems in handling complex citation patterns. The high F1 score (0.91) and superior recall and precision compared to baselines demonstrate the effectiveness of ACT. The ability to classify stylistic patterns also opens avenues for genre classification and intertextual analysis, contributing to digital humanities.
Key Takeaways
- •ACT is a novel three-stage algorithm for detecting biblical quotations in Rabbinic literature.
- •ACT outperforms existing systems and human-annotated critical editions.
- •ACT achieves a high F1 score, demonstrating its effectiveness.
- •ACT can classify stylistic patterns, opening new avenues for analysis.
Reference
“ACT achieves an F1 score of 0.91, with superior Recall (0.89) and Precision (0.94).”