Производительность парсинга

We describe the use of XML tokenisa- tion, tagging and mark-up tools to pre- pare a corpus for parsing. Our tech- niques are generally applicable but here we focus on …...

We introduce lightly supervised learning for dependency parsing. In this paradigm, the al- gorithm is initiated with a parser, such as one that was built based on a very limited …...

AbstractProbabilistic context-free grammars (PCFGs) with neural parameterization have been shown to be effective in unsupervised phrase-structure grammar induction. However, due to the cubic computational complexity of PCFG representation and parsing, …...