8970 search results - page 356 / 1794 » Learning to Learn Causal Models |
199
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AGENTS
1999
Springer
15 years 11 months ago
1999
Springer
This paper discusses improving the methodology introduced in Kushmerick’s paper about learning to remove internet advertisements. The aim is to reduce the model build time as we...
163
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AGI
2008
15 years 8 months ago
2008
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
192
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UAI
2008
15 years 8 months ago
2008
Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algo...
177
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ACL
2001
15 years 8 months ago
2001
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
149
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ANLP
1997
15 years 8 months ago
1997
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...