Метод Монте-Карло на основе марковских цепей

Conditional random fields and other graphi- cal models have achieved state of the art re- sults in a variety of tasks such as coreference, relation extraction, data integration, and pars- …...

Probabilistic context-free grammars have the unusual property of not always defining tight distributions (i.e., the sum of the “probabili- ties” of the trees the grammar generates can be less than …...

AbstractWe present a generative model of natural language sentences and demonstrate its application to semantic parsing. In the generative process, a logical form sampled from a prior, and conditioned on …...

AbstractGenerating natural language under complex constraints is a principled formulation towards controllable text generation. We present a framework to allow specification of combinatorial constraints for sentence generation. We propose TSMC, …...