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Verified Language Processing with Hybrid Explainability

2025-05-16

Abstract excerpt

The volume and diversity of digital information have led to a growing reliance on Machine Learning (ML) techniques, such as Natural Language Processing (NLP), for interpreting and accessing appropriate data. While vector and graph embeddings represent data for similarity tasks, current state-of-the-art pipelines lack guaranteed explainability, failing to determine similarity for given full texts accurately. These...

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Literature Corpus work
385b72b5-7ac9-579a-8f48-bbdb3649488c
DOI
10.20944/preprints202504.0090.v2
Open publication

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Verified Language Processing with Hybrid ExplainabilityDOI 10.20944/preprints202504.0090.v2
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