Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Data characterization for intelligent graphics presentation
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Graphics and natural language as components of automatic explanation
Intelligent user interfaces
Interactive graphic design using automatic presentation knowledge
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in intelligent user interfaces
Readings in intelligent user interfaces
Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
Saying It in Graphics: From Intentions to Visualizations
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Recovery strategies for parsing extragrammatical language
Computational Linguistics - Special issue on ill-formed input
Criteria to choose appropriate graph-types
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Spreadsheet information retrieval through natural language
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Natural language processing for spreadsheet information retrieval
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
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A methodology is proposed for taking queries and requests expressed in natural language as input and answering them in charts through organizing that interaction into felicitous dialogue. Charts and graphics, as well as languages, are important modes of communication. This is especially true of those which are used frequently when people analyze huge amount of data interactively, in order to find out its characteristics or to resolve questions about it. This paper raises the problem that in such situations the correctness of the charts depends on the context, and proposes a framework to resolve it. The core of the framework is a logical form that includes the specifications of the user's perspective and the proper treatment of the logical form for handling utterance fragments. The framework has been implemented and confirmed to be appropriate.