Article
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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 385b72b5-7ac9-579a-8f48-bbdb3649488c
- DOI
- 10.20944/preprints202504.0090.v2
