Аналогия тапсырмасы

AbstractRecent work for learning word representations has applied successfully to many NLP applications, such as sentiment analysis and question answering. However, most of these models assume a single vector per …...

Languages with rich inflectional morphol- ogy exhibit lexical data sparsity, since the word used to express a given concept will vary with the syntactic context. For in- stance, each count …...

AbstractRecent results show that deep neural networks using contextual embeddings significantly outperform non-contextual embeddings on a majority of text classification task. We offer precomputed embeddings from popular contextual ELMo model …...