| 摘要 |
The present invention relates to a method, a system and a computer program product for mapping of semantic tags to phrases within a training corpus of weakly annotated sentences, thereby generating a grammar which can be applied to unknown sentences for the purpose of language understanding. The method is based on a probabilistic estimation that a given phrase is mapped to a semantic tag of a set of candidate semantic tags. The mapping and the generation of the grammar is performed according to a maximum mapping probability of a set of mapping probabilities of the given phrase and the set of candidate semantic tags. In particular, the determination of the mapping probability makes use of an expectation maximization algorithm. |
