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DAGSTUHL
2007
15 years 4 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
127
Voted
BIOINFORMATICS
2007
72views more  BIOINFORMATICS 2007»
15 years 2 months ago
The qualitative and time-dependent character of spatial relations in biomedical ontologies
The formal representation of mereological aspects of canonical anatomy (parthood relations) is relatively well understood. The formal representation of other aspects of canonical ...
Thomas Bittner, Louis J. Goldberg
125
Voted
CORR
2002
Springer
118views Education» more  CORR 2002»
15 years 2 months ago
Unsupervised discovery of morphologically related words based on orthographic and semantic similarity
We present an algorithm that takes an unannotated corpus as its input, and returns a ranked list of probable morphologically related pairs as its output. The algorithm tries to di...
Marco Baroni, Johannes Matiasek, Harald Trost
115
Voted
IWPC
2010
IEEE
15 years 1 months ago
SVS, BORS, SVSi: Three Strategies to Relate Problem and Program Domains
— Program Comprehension is improved if: i) the Problem and Program Domains can be related, and ii) this relation is shown in a suitable way to the programmer. Currently, there ar...
Mario M. Beron, Maria João Varanda Pereira,...
ACL
2010
15 years 20 days ago
Learning 5000 Relational Extractors
Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervis...
Raphael Hoffmann, Congle Zhang, Daniel S. Weld