Optional Deep Case Filling and Focus Control with Mental Images: ANTLIMA-KOREF
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Cognitive Modelling. Pages 417-422.
Abstract
The connection between vision and natural language systems in AI research relies on what is often called reference semantics. In the situation of a radio reporter for soccer games, an utterance must be perceptually anchored and coherent in order to be understandable to a listener not able to see the scene. Accordingly, the speaker must be able to anticipate the listeners' understanding by means of mental images. In this paper, we demonstrate the comparison of mental images and visual perception on the level of spatial relations and show how to employ the results for cooperatively filling optional deep cases, and for controlling the use of underspecific definite descriptions.
@inproceedings{ijcai1995p55,
title = {Optional Deep Case Filling and Focus Control with Mental Images: ANTLIMA-KOREF},
author = {Blocher, Anselm and Schirra, Jörg R. J.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {417--422},
year = {1995},
note = {Cognitive Modelling},
url = {https://ijcai.org/proceedings/1995/55},
}
TY - CPAPER TI - Optional Deep Case Filling and Focus Control with Mental Images: ANTLIMA-KOREF AU - Blocher, Anselm AU - Schirra, Jörg R. J. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 417 EP - 422 UR - https://ijcai.org/proceedings/1995/55 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
