Title :
Interaction between dialog structure and coreference resolution
Author :
Stent, Amanda J. ; Bangalore, Srinivas
Author_Institution :
AT&T Labs. - Res., Florham Park, NJ, USA
Abstract :
Determining the coreference of entity mentions in a discourse is a key part of the interpretation process for advanced spoken dialog applications. In this paper, we present the most comprehensive system for statistical coreference resolution in dialog to date. We also compare the impact of two contrasting theories of dialog structure (the stack model and the cache model) on the performance of statistical coreference resolution, and show that the stack model outperforms the cache model.
Keywords :
interactive systems; natural language processing; statistical analysis; cache model; spoken dialog applications; stack model; statistical coreference resolution; Natural language interfaces; Speech communication;
Conference_Titel :
Spoken Language Technology Workshop (SLT), 2010 IEEE
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-7904-7
Electronic_ISBN :
978-1-4244-7902-3
DOI :
10.1109/SLT.2010.5700875