Обучение Представлению Слов
Related Papers
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
We use Bayesian optimization to learn curricula for word representation learning, optimizing performance on downstream tasks that depend on the learned represen- tations as features. The curricula are mod- eled …...
Improved Word Representation Learning with Sememes
AbstractSememes are minimum semantic units of word meanings, and the meaning of each word sense is typically composed by several sememes. Since sememes are not explicit for each word, people …...
Learning Emotion-enriched Word Representations
AbstractMost word representation learning methods are based on the distributional hypothesis in linguistics, according to which words that are used and occur in the same contexts tend to possess similar …...
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages
AbstractRecent work has validated the importance of subword information for word representation learning. Since subwords increase parameter sharing ability in neural models, their value should be even more pronounced in …...