Универсальный банк данных зависимостей

We propose the first implementation of an infinite-order generative dependency model. The model is based on a new recursive neural network architecture, the Inside-Outside Recursive Neural Network. This architecture allows …...

Cross-lingual transfer has been shown to produce good results for dependency pars- ing of resource-poor languages. Although this avoids the need for a target language treebank, most approaches have still …...

AbstractWe present a dependency to constituent tree conversion technique that aims to improve constituent parsing accuracies by leveraging dependency treebanks available in a wide variety in many languages. The technique …...

This paper presents initial experiments in data-driven morphological analy- sis for Finnish using deep learning methods. Our system uses a character based bidirectional LSTM and pretrained word embeddings to predict …...