ELMO TensorFlow implementation

An ELMO layer implementation using TensorFlow-Hub and how to prepare data for any NLP task.

ELMo (em-beddings from Language Models) is a deep contextualized word representation that models both (1) complex characteristics of word use (e.g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i.e., to model polysemy). These word vectors are learned functions of the internal states of…