Несупервизируемое разрешение омонимии

This paper presents a supervised method for resolving metonymies. We enhance a commonly used feature set with fea- tures extracted based on collocation in- formation from corpora, generalized us- ing …...

Given a set of images with related captions, our goal is to show how visual features can improve the accuracy of unsupervised word sense disambiguation when the textual con- text …...

Unsupervised word sense disambiguation (WSD) methods are an attractive approach to all-words WSD due to their non-reliance on expensive annotated data. Unsuper- vised estimates of sense frequency have been shown …...