29 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.AI2013★ 3 cited
Integrating Probabilistic, Taxonomic and Causal Knowledge in Abductive Diagnosis
Dekang Lin, Randy Goebel
We propose an abductive diagnosis theory that integrates probabilistic, causal and taxonomic knowledge. Probabilistic knowledge allows us to select the most likely explanation; cau…
cs.AI2013
A Probabilistic Network of Predicates
Dekang Lin
Bayesian networks are directed acyclic graphs representing independence relationships among a set of random variables. A random variable can be regarded as a set of exhaustive and…
cmp-lg1994★ 29 cited
PRINCIPAR---An Efficient, Broad-coverage, Principle-based Parser
Dekang Lin
We present an efficient, broad-coverage, principle-based parser for English. The parser has been implemented in C++ and runs on SUN Sparcstations with X-windows. It contains a lexi…