Paper: Towards Situated Dialogue: Revisiting Referring Expression Generation

ACL ID D13-1038
Title Towards Situated Dialogue: Revisiting Referring Expression Generation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

In situated dialogue, humans and agents have mismatched capabilities of perceiving the shared environment. Their representations of the shared world are misaligned. Thus referring expression generation (REG) will need to take this discrepancy into consider- ation. To address this issue, we developed a hypergraph-based approach to account for group-based spatial relations and uncertain- ties in perceiving the environment. Our em- pirical results have shown that this approach outperforms a previous graph-based approach with an absolute gain of 9%. However, while these graph-based approaches perform effec- tively when the agent has perfect knowledge or perception of the environment (e.g., 84%), they perform rather poorly when the agent has imperfect perception of the environment (e.g., 45%). ...