Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
A Survey of Data Structures for Computer Graphics Systems
ACM Computing Surveys (CSUR)
Understanding Natural Language
Understanding Natural Language
Graphical input through machine recognition of sketches
SIGGRAPH '76 Proceedings of the 3rd annual conference on Computer graphics and interactive techniques
Graphic and relational data base support for problem solving
SIGGRAPH '76 Proceedings of the 3rd annual conference on Computer graphics and interactive techniques
Design of Man-Computer Dialogues
Design of Man-Computer Dialogues
An on-line question-answering systems with natural language and pictorial input
ACM '68 Proceedings of the 1968 23rd ACM national conference
The FRL Manual
A personal view of natural language understanding
ACM SIGART Bulletin
Semantic Information Processing
Semantic Information Processing
Data and storage structures for interactive graphics
ACM SIGPLAN Notices
Data structures for computer graphics
ACM SIGPLAN Notices
Context-sensitive, graphic presentation of information
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
The story picturing engine: finding elite images to illustrate a story using mutual reinforcement
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
The Story Picturing Engine---a system for automatic text illustration
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Easy as ABC?: facilitating pictorial communication via semantically enhanced layout
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
A text-to-picture synthesis system for augmenting communication
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Graphical deep knowledge for intelligent machine drafting
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
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This ongoing research is concerned with the construction of a Picture Production system which has embedded knowledge. The paper discusses the motivation for such a system and gives reasons why knowledge should be included about the objects to be displayed. Some questions and commands in Natural Language are shown to give clues as to the natural structure of such a system. An outline of a design for a Picture Production system is presented via the use of a simple example.