Transition network grammars for natural language analysis
Communications of the ACM
Conceptual Information Processing
Conceptual Information Processing
Understanding Natural Language
Understanding Natural Language
Automated generation of intent-based 3D Illustrations
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
On the interdependence of language and perception
TINLAP '78 Proceedings of the 1978 workshop on Theoretical issues in natural language processing
Understanding scene descriptions as event simulations
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
Toward a detailed model of processing for language describing the physical world
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Computing a map from michi-annai-bun or written directions
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Frame semantics in text-to-scene generation
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
VigNet: grounding language in graphics using frame semantics
RELMS '11 Proceedings of the ACL 2011 Workshop on Relational Models of Semantics
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
3D visualization of simple natural language statement using semantic description
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part I
| Hi-index | 0.00 |
About fifteen years of active research in natural language question-answering systems has provided reasonably concise and elegant formulations of computational semantics for understanding English sentences and questions about various microworlds. These include the Woods Lunar Data Base, the Winograd world of a pictured hand and blocks, the Heidorn world of a fueling station, the Hendrix, Slocum, Thompson world of transactions, John Seely Brown's power circuit and Schank's sketches of motivated humans. (See Woods et al 1972, Winograd 1972, Hendrix et al 1973, Heidorn 1972, Schank 1975 and Brown et al 1974.) In each of these worlds, a natural language processor is able to understand an ordinary subset of English and use it conversationally to accept data and to respond to commands and questions.