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Generating Grammars from lemon lexica for Questions Answering over Linked Data: a Preliminary Analysis
2020
Zenodo
Most approaches to question answering over linked data (QALD) frame the task as a machine learning problem, consisting in learning a mapping from natural language questions into SPARQL queries by parametrizing a model from training data given in the form of pairs of natural language (NL) question and SPARQL query. In this preliminary work we present an alternative approach to developing a QA system using machine learning that relies on the automatic generation of a QA grammar from a lemon
doi:10.5281/zenodo.6641630
fatcat:27n5ieql5zfndciv44wzyepzgq