CCG Супертеггинг

With performance above 97% accuracy for newspaper text, part of speech (POS) tag- ging might be considered a solved prob- lem. Previous studies have shown that allowing the parser to …...

AbstractIn this paper, we empirically explore the effects of various kinds of skip connections in stacked bidirectional LSTMs for sequential tagging. We investigate three kinds of skip connections connecting to …...

In this paper we present new state-of-the-art performance on CCG supertagging and pars- ing. Our model outperforms existing ap- proaches by an absolute gain of 1.5%. We an- alyze the …...

AbstractGlobally normalized neural sequence models are considered superior to their locally normalized equivalents because they may ameliorate the effects of label bias. However, when considering high-capacity neural parametrizations that condition …...

AbstractCRF has been used as a powerful model for statistical sequence labeling. For neural sequence labeling, however, BiLSTM-CRF does not always lead to better results compared with BiLSTM-softmax local classification. …...