DEEP LEARNING FOR SEMANTIC PARSING INCLUDING SEMANTIC UTTERANCE CLASSIFICATION

摘要

One or more aspects of the subject disclosure are directed towards performing a semantic parsing task, such as classifying text corresponding to a spoken utterance into a class. Feature data representative of input data is provided to a semantic parsing mechanism that uses a deep model trained at least in part via unsupervised learning using unlabeled data. For example, if used in a classification task, a classifier may use an associated deep neural network that is trained to have an embeddings layer corresponding to at least one of words, phrases, or sentences. The layers are learned from unlabeled data, such as query click log data.

主权项

1. A method, comprising, performing a semantic parsing task, including providing feature data representative of input data to a semantic parsing mechanism, in which a model used by the semantic parsing mechanism comprises a deep model trained at least in part via unsupervised learning using unlabeled data, and receiving output from the semantic parsing mechanism in which the output corresponds to a result of performing the semantic parsing task.