Paper: Learning the Information Status of Noun Phrases in Spoken Dialogues

ACL ID D11-1099
Title Learning the Information Status of Noun Phrases in Spoken Dialogues
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

An entity in a dialogue may be old, new, or mediated/inferrable with respect to the hearer’s beliefs. Knowing the information status of the entities participating in a dia- logue can therefore facilitate its interpreta- tion. We address the under-investigated prob- lem of automatically determining the informa- tion status of discourse entities. Specifically, we extend Nissim’s (2006) machine learning approach to information-status determination with lexical and structured features, and ex- ploit learned knowledge of the information status of each discourse entity for coreference resolution. Experimental results on a set of Switchboard dialogues reveal that (1) incor- porating our proposed features into Nissim’s feature set enables our system to achieve state- of-the-art performance o...