Лингвистикалық бірліктер

AbstractWord composition is a promising technique for representation learning of large linguistic units (e.g., phrases, sentences and documents). However, most of the current composition models do not take the ambiguity …...

AbstractHierarchical Multiscale LSTM (Chung et. al., 2016) is a state-of-the-art language model that learns interpretable structure from character-level input. Such models can provide fertile ground for (cognitive) computational linguistics studies. …...

Emotion classification in text is typically per- formed with neural network models which learn to associate linguistic units with emo- tions. While this often leads to good predic- tive performance, …...