In this paper, we describe an architecture for conversational systems that enables human-like performance along several important dimensions. First, interpretation is incremental, multi-level, and involves both general and task- and domain-specific knowledge. Second, generation is also incremental, proceeds in parallel with interpretation, and accounts for phenomena such as turn-taking, grounding and interruptions. Finally, the overall behavior of the system in the task at hand is determined by the (incremental) results of interpretation, the persistent goals and obligations of the system, and exogenous events of which it becomes aware. As a practical matter, the architecture supports a separation of responsibilities that enhances portability to new tasks and domains.
%0 Conference Paper
%1 AllenFergusonStent01IUI
%A Allen, James
%A Ferguson, George
%A Stent, Amanda
%B Proceedings of IUI '01: 6th International Conference on Intelligent User Interfaces, Santa Fe, NM, USA
%D 2001
%K v1205 acm paper ai user interface interaction language processing dialog knowledge middleware zzz.th.c4
%P 1-8
%R 10.1145/359784.359822
%T An Architecture for more Realistic Conversational Systems
%X In this paper, we describe an architecture for conversational systems that enables human-like performance along several important dimensions. First, interpretation is incremental, multi-level, and involves both general and task- and domain-specific knowledge. Second, generation is also incremental, proceeds in parallel with interpretation, and accounts for phenomena such as turn-taking, grounding and interruptions. Finally, the overall behavior of the system in the task at hand is determined by the (incremental) results of interpretation, the persistent goals and obligations of the system, and exogenous events of which it becomes aware. As a practical matter, the architecture supports a separation of responsibilities that enhances portability to new tasks and domains.
%@ 1-58113-325-1
@inproceedings{AllenFergusonStent01IUI,
abstract = {In this paper, we describe an architecture for conversational systems that enables human-like performance along several important dimensions. First, interpretation is incremental, multi-level, and involves both general and task- and domain-specific knowledge. Second, generation is also incremental, proceeds in parallel with interpretation, and accounts for phenomena such as turn-taking, grounding and interruptions. Finally, the overall behavior of the system in the task at hand is determined by the (incremental) results of interpretation, the persistent goals and obligations of the system, and exogenous events of which it becomes aware. As a practical matter, the architecture supports a separation of responsibilities that enhances portability to new tasks and domains.},
added-at = {2012-05-30T10:42:13.000+0200},
author = {Allen, James and Ferguson, George and Stent, Amanda},
biburl = {https://www.bibsonomy.org/bibtex/274e60a5be88356d0fdb4c70ff5cab342/flint63},
booktitle = {Proceedings of IUI '01: 6th International Conference on Intelligent User Interfaces, Santa Fe, NM, USA},
doi = {10.1145/359784.359822},
file = {ACM Digital Library:2000-04/AllenFergusonStent01IUI.pdf:PDF},
groups = {public},
interhash = {414dac99d41796307b9abd3deac5f226},
intrahash = {74e60a5be88356d0fdb4c70ff5cab342},
isbn = {1-58113-325-1},
keywords = {v1205 acm paper ai user interface interaction language processing dialog knowledge middleware zzz.th.c4},
pages = {1-8},
timestamp = {2018-04-16T11:46:57.000+0200},
title = {An Architecture for more Realistic Conversational Systems},
username = {flint63},
year = 2001
}