|Title||Evaluation of Semantic Dependency Labeling Across Domains|
|Publication Type||Conference Paper|
|Year of Publication||2016|
|Authors||Stoyanchev, S., S. Bangalore, and A. Stent|
|Conference Name||Proceedings of AAAI|
One of the key concerns in computational semantics is to construct a domain independent semantic representation which captures the richness of natural language, yet can be quickly customized to a specific domain for practical applications. We propose to use generic semantic frames defined in FrameNet, a domain-independent semantic resource, as an intermediate semantic representation for language understanding in dialog systems. In this paper we: (a) outline a novel method for FrameNet-style semantic dependency labeling that builds on a syntactic dependency parse; and (b) compare the accuracy of domain-adapted and generic approaches to semantic parsing for dialog tasks, using a frame-annotated corpus of human-computer dialogs in an airline reservation domain.