POPEL-HOW: A Distributed Parallel Model for Incremental Natural Language Production with Feedback
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Speech and Natural Language. Pages 1518-1522.
Abstract
This paper 1 presents a new model for the production of natural language. The novel idea is to combine incremental and bidirectional generation with parallelism. The operational basis of our model is a distributed parallel system at every level of representation. Starting point of the production are segments of the conceptual level. These segments are related to active objects which have to map themselves across the linguistic levels (i.e. functionalsemantic, syntactic and morphologic level) as fast and as independently as possible. Therefore the incremental behavior caused by a successive input is propagated on all levels. Linguistic requirements detected by objects which are related to already produced segments at any level influence and restrict the decision of what to say next.
@inproceedings{ijcai1989p242,
title = {POPEL-HOW: A Distributed Parallel Model for Incremental Natural Language Production with Feedback},
author = {Finkler, Wolfgang and Neumann, Günter},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {1518--1522},
year = {1989},
month = {8},
note = {Speech and Natural Language},
url = {https://ijcai.org/proceedings/1989/242},
}
TY - CPAPER TI - POPEL-HOW: A Distributed Parallel Model for Incremental Natural Language Production with Feedback AU - Finkler, Wolfgang AU - Neumann, Günter T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1518 EP - 1522 UR - https://ijcai.org/proceedings/1989/242 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
