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arXiv Computation and Language By Ra\'ul Gir\'aldez, Dayrelis Mena, Jes\'us S. Aguilar--Ruiz

ITL: Interpretable Document Alignment with Structured Reference Frameworks

Read the original on arXiv Computation and Language →

The paper introduces Intelligent Target Locator (ITL), a method that measures how well a document aligns with concepts in a Structured Reference Document (SRD) by creating concept‑specific term profiles and computing a textual‑unit–concept affinity matrix. ITL assigns importance weights to terms based on concept membership, term specificity, and discriminability, enabling traceable, quantitative alignment scores at multiple granularity levels. An internal consistency test on the 17 Sustainable Development Goals showed that each goal statement achieved its highest affinity with its corresponding concept, demonstrating ITL’s ability to distinguish conceptual profiles.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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