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

2026-06-25 · Source: Paper Index on ACL Anthology · Field: Science & Research — Social Sciences & Behavioral Studies, Research Methodology & Innovation, Artificial Intelligence & Machine Learning · Depth: Expert, quick

Summary

A study by Yu Wu, Ananth Mahadevan, Filip Ginter, Michael Mathioudakis, and Mikko Tolonen evaluates the effectiveness of semantic search in analyzing 18th-century intellectual history, focusing on the reception of John Locke's work. Traditional lexical text reuse detection methods, while effective for verbatim quotations, often fail to identify paraphrases and implicit intellectual engagement. The researchers employed an off-the-shelf semantic search pipeline, validated by expert annotation using a semantic taxonomy, to identify meaning-level correspondences. Their findings indicate that semantic search significantly outperforms lexical baselines in retrieving implicit receptions. However, the study also identified a "lexical gatekeeping" effect, where retrieval performance remains partially influenced by surface vocabulary overlap. This research, with its data available at https://github.com/COMHIS/locke-sim-data, underscores both the promise and inherent limitations of semantic retrieval for tracing the circulation of ideas within extensive historical corpora.

Key takeaway

For intellectual historians or digital humanities researchers analyzing large historical corpora, you should integrate semantic search to uncover implicit intellectual transmissions that lexical methods miss. While semantic search significantly enhances the detection of paraphrases and complex engagements, be aware of the "lexical gatekeeping" effect; your retrieval might still be partially influenced by surface vocabulary. Consider refining search strategies to mitigate this constraint and ensure comprehensive meaning-level correspondence discovery.

Key insights

Semantic search significantly improves implicit idea detection in historical texts but retains lexical constraints.

Principles

• Lexical methods miss implicit intellectual engagement.
• Semantic search retrieves more implicit receptions.
• Retrieval can be constrained by surface vocabulary.

Method

An off-the-shelf semantic search pipeline was evaluated using expert annotation grounded in a semantic taxonomy to identify meaning-level correspondences in historical texts.

In practice

• Apply semantic search to historical corpora.
• Use expert annotation for semantic taxonomy.
• Analyze "lexical gatekeeping" in results.

Topics

• Semantic Search
• Intellectual History
• Digital Humanities
• Text Reuse Detection
• John Locke Reception
• Historical Corpora

Code references

• COMHIS/locke-sim-data

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Editorial summary, takeaway, and curation by AIssential. Original article published by Paper Index on ACL Anthology.