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Semantisk parsing — Naturligt sprog til formel repræsentation

Semantisk parsing er en opgave inden for naturlig sprogbehandling, der konverterer frit-tekstlige ytringer til eksekverbare formelle repræsentationer såsom SQL-forespørgsler, logiske former eller Abstract Meaning Representations (AMR). Etableret i sin superviserede læringsform af Zelle og Mooney i 1996 og skaleret til domæne-overstigende indstillinger af Spider-benchmarken (Yu et al., 2018), bygger den bro mellem menneskeligt sprog og maskineksekverbare strukturer.

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Kilder

  1. Zelle, J.M. & Mooney, R.J. (1996). Learning to Parse Database Queries Using Inductive Logic Programming. AAAI. link
  2. Yu, T. et al. (2018). Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing. EMNLP. link

Sådan citerer du denne side

ScholarGate. (2026, June 1). Semantic Parsing (Natural Language to Formal Representation). ScholarGate. https://scholargate.app/da/text-mining/semantic-parsing

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ScholarGateSemantic Parsing (Semantic Parsing (Natural Language to Formal Representation)). Hentet 2026-06-15 fra https://scholargate.app/da/text-mining/semantic-parsing · Datasæt: https://doi.org/10.5281/zenodo.20539026