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AAAI
2010
13 years 9 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
MICAI
2005
Springer
14 years 1 months ago
EventNet: Inferring Temporal Relations Between Commonsense Events
In this paper, we describe EventNet, a toolkit for inferring temporal relations between Commonsense events. It comprises 10,000 nodes and 30,000 temporal links mined from the Openm...
José H. Espinosa, Henry Lieberman
ACL
2009
13 years 5 months ago
Bilingual Co-Training for Monolingual Hyponymy-Relation Acquisition
This paper proposes a novel framework called bilingual co-training for a largescale, accurate acquisition method for monolingual semantic knowledge. In this framework, we combine ...
Jong-Hoon Oh, Kiyotaka Uchimoto, Kentaro Torisawa
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 7 months ago
An Evidential Path Logic for Multi-Relational Networks
Multi-relational networks are used extensively to structure knowledge. Perhaps the most popular instance, due to the widespread adoption of the Semantic Web, is the Resource Descr...
Marko A. Rodriguez, Joe Geldart
EMNLP
2008
13 years 9 months ago
Cross-Task Knowledge-Constrained Self Training
We present an algorithmic framework for learning multiple related tasks. Our framework exploits a form of prior knowledge that relates the output spaces of these tasks. We present...
Hal Daumé III