Paper: Preferences versus Adaptation during Referring Expression Generation

ACL ID P10-2011
Title Preferences versus Adaptation during Referring Expression Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010
Authors

Current Referring Expression Generation algorithms rely on domain dependent pref- erences for both content selection and lin- guistic realization. We present two exper- iments showing that human speakers may opt for dispreferred properties and dispre- ferred modifier orderings when these were salient in a preceding interaction (without speakers being consciously aware of this). We discuss the impact of these findings for current generation algorithms.