Cross-Task Knowledge-Constrained Self Training

Details Cross-Task Knowledge-Constrained Self Training Cross-Task Knowledge-Constrained Self Training

2009-07-04

arxiv.org/abs/0907.0784v1

Computer Science

Learning

Scientific paper

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 PAC learning results that analyze the conditions under which such learning is possible. We present results on learning a shallow parser and named-entity recognition system that exploits our framework, showing consistent improvements over baseline methods.

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