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VL
1999
IEEE
136views Visual Languages» more  VL 1999»
13 years 11 months ago
Scaling up a "What You See Is What You Test" Methodology to Spreadsheet Grids
Although there has been considerable research into ways to design visual programming environments to improve the processes of creating new programs and of understanding existing o...
Margaret M. Burnett, Andrei Sheretov, Gregg Rother...

Publication
179views
13 years 11 months ago
AutoSelect: What You Want Is What You Get Real-Time Processing of Visual Attention and Affect
While objects of our focus of attention (“where we are looking at”) and accompanying affective responses to those objects is part of our daily experience, little research exis...
Nikolaus Bee, Helmut Prendinger, Arturo Nakasone, ...
EMNLP
2008
13 years 8 months ago
Who is Who and What is What: Experiments in Cross-Document Co-Reference
This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
Alex Baron, Marjorie Freedman
TSE
2002
119views more  TSE 2002»
13 years 7 months ago
Testing Homogeneous Spreadsheet Grids with the "What You See Is What You Test" Methodology
Although there has been recent research into ways to design environments that enable end users to create their own programs, little attention has been given to helping these end u...
Margaret M. Burnett, Andrei Sheretov, Bing Ren, Gr...
ECAI
1998
Springer
13 years 11 months ago
What You See Is What You Meant: direct knowledge editing with natural language feedback
Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowled...
Richard Power, Donia Scott, Roger Evans