Paper: Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems

ACL ID D12-1008
Title Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

Incremental processing allows system design- ers to address several discourse phenomena that have previously been somewhat neglected in interactive systems, such as backchannels or barge-ins, but that can enhance the re- sponsiveness and naturalness of systems. Un- fortunately, prior work has focused largely on deterministic incremental decision mak- ing, rendering system behaviour less flexible and adaptive than is desirable. We present a novel approach to incremental decision mak- ing that is based on Hierarchical Reinforce- ment Learning to achieve an interactive op- timisation of Information Presentation (IP) strategies, allowing the system to generate and comprehend backchannels and barge-ins, by employing the recent psycholinguistic hy- pothesis of information density (ID) (Jaeger, 2...