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» Learning for Semantic Parsing
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124
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ICCV
2009
IEEE
15 years 15 days ago
Learning to predict where humans 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 ...
Tilke Judd, Krista A. Ehinger, Frédo Durand...
109
Voted
NAACL
2007
15 years 4 months ago
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
This paper explores the use of statistical machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to...
Yuk Wah Wong, Raymond J. Mooney
112
Voted
NAACL
2010
15 years 19 days ago
Improving Semantic Role Classification with Selectional Preferences
This work incorporates Selectional Preferences (SP) into a Semantic Role (SR) Classification system. We learn separate selectional preferences for noun phrases and prepositional p...
Beñat Zapirain, Eneko Agirre, Lluís ...
157
Voted
NAACL
2003
15 years 4 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith
135
Voted
3DOR
2010
14 years 9 months ago
Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes
We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes ...
Hamid Laga