Paper: Semantic Parsing Freebase: Towards Open-domain Semantic Parsing

ACL ID S13-1045
Title Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

Existing semantic parsing research has steadily improved accuracy on a few domains and their corresponding databases. This paper introduces FreeParser, a system that trains on one domain and one set of predicate and con- stant symbols, and then can parse sentences for any new domain, including sentences that refer to symbols never seen during training. FreeParser uses a domain-independent archi- tecture to automatically identify sentences relevant to each new database symbol, which it uses to supplement its manually-annotated training data from the training domain. In cross-domain experiments involving 23 domains, FreeParser can parse sentences for which it has seen comparable unannotated sentences with an F1 of 0.71.