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133
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ACL
2012
13 years 6 months ago
Labeling Documents with Timestamps: Learning from their Time Expressions
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...
Nathanael Chambers
122
Voted
ICCV
2009
IEEE
16 years 8 months ago
Using machine learning to predict where people look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable o...
Tilke Judd, Krista Ehinger, Fr´edo Durand, Antoni...
114
Voted
CSIE
2009
IEEE
15 years 10 months ago
Automatic Preposition Errors Correction Using Inductive Learning
In this paper, we describe a system for correcting English preposition errors automatically. Non-native English writers often make these errors. Our system uses rules extracted au...
Hokuto Ototake, Kenji Araki
109
Voted
ECTEL
2007
Springer
15 years 9 months ago
Enabling Project-Centred Learning through Flexible Processes: the COOPER Experience
This paper proposes a model-driven, extensible platform, delivered on the Web, which is able to support long-distance collaboration of students’ teams working on complex projects...
Stefano Ceri, Florian Daniel, Maristella Matera, A...
151
Voted
CIBCB
2006
IEEE
15 years 9 months ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel