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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
JCDL
2005
ACM
100views Education» more  JCDL 2005»
14 years 28 days ago
What's there and what's not?: focused crawling for missing documents in digital libraries
Some large scale topical digital libraries, such as CiteSeer, harvest online academic documents by crawling open-access archives, university and author homepages, and authors’ s...
Ziming Zhuang, Rohit Wagle, C. Lee Giles