Cognitive canonicalization of natural language queries using semantic strata
ACM Transactions on Speech and Language Processing (TSLP)
Knowledge-based graph document modeling
Proceedings of the 7th ACM international conference on Web search and data mining
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This paper presents an approach for representing queries in natural language as semantic networks. The semantic representation is intended to facilitate the translation between natural language and database queries. A domain agnostic algorithm, based on shallow features, is used to map a sentence to a sub-network of concepts within a larger ontology. This work focuses on transportation information systems and gives promising preliminary results.