DEEP LEARNING FOR SEMANTIC PARSING INCLUDING SEMANTIC UTTERANCE CLASSIFICATION
First Claim
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.
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Abstract
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.
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Citations
20 Claims
- 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.
- 10. A system comprising, a classifier and associated deep network, the deep network trained to have an embeddings layer corresponding to at least one of words, phrases, or sentences, the embeddings layer learned at least in part from unlabeled data, the classifier coupled to a feature extraction mechanism to receive feature data representative of input text from the feature extraction mechanism, and the classifier configured to classify the input text as a result set comprising classification data.
- 17. One or more computer-readable storage devices or machine logic having executable instructions, which when executed perform steps, comprising, classifying textual input data into a class, including determining feature data representative of the textual input data, providing the feature data to a classifier, in which a model used by the classifier comprises a deep network trained at least in part on unlabeled data, and receiving a result set comprising a semantic class from the classifier.
Specification