Automatic Bare Sluice Disambiguation in Dialogue
Shalom Lappin, Raquel Fernández, Jonathan Ginzburg · SAS-Space (University of London) · 2005
The capacity to recognise and interpret sluices-bare wh-phrases that exhibit a sentential meaning-is essential to maintaining cohesive interaction between human users and a machine interlocutor in a dialogue system.In this paper we present a machine learning approach to sluice disambiguation in dialogue.Our experiments, based on solid theoretical considerations, show that applying machine learning techniques using a compact set of features that can be automatically identified from PoS markings in a corpus can be an efficient tool to disambiguate between sluice interpretations.(1) a. Jo left someone/something/somewhere.Bo knows who/what/where/why.b.Cassie: I know someone who's a good kisser.Catherine: Who? [KP4, 512] 1 c.Sue: I think you were getting a real panic then.