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Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition
[article]
2018
arXiv
pre-print
Natural language definitions of terms can serve as a rich source of knowledge, but structuring them into a comprehensible semantic model is essential to enable them to be used in semantic interpretation tasks. We propose a method and provide a set of tools for automatically building a graph world knowledge base from natural language definitions. Adopting a conceptual model composed of a set of semantic roles for dictionary definitions, we trained a classifier for automatically labeling
arXiv:1806.07731v1
fatcat:5526pcnozfh7dk5omik5d4lhvm