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Found 22 papers, 4 papers with code
Extrapolation in Gridworld Markov-Decision Processes
Extrapolation in reinforcement learning is the ability to generalize at test time given states that could never have occurred at training time.
Syntactic Parse Fusion
Ranked #22 on
Constituency Parsing
on Penn Treebank
(using extra training data)
A New Algorithm for Finding MAP Assignments to Belief Networks
We present a new algorithm for finding maximum a-posterior) (MAP) assignments of values to belief networks.
Dynamic Construction of Belief Networks
We describe a method for incrementally constructing belief networks.
Plan Recognition in Stories and in Life
Plan recognition does not work the same way in stories and in "real life" (people tend to jump to conclusions more in stories).
You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement
We present a corpus of Internet Relay Chat (IRC) dialogue in which the various conversations have been manually disentangled, and evaluate annotator reliability.
Effective Self-Training for Parsing
We present a simple, but surprisingly effective, method of self-training a two-phase parser-reranker system using readily available unlabeled data.
Ranked #23 on
Constituency Parsing
on Penn Treebank
(using extra training data)
