ASSIGNMENT OF SEMANTIC LABELS TO A SEQUENCE OF WORDS USING NEURAL NETWORK ARCHITECTURES

摘要

Technologies pertaining to slot filling are described herein. A deep neural network, a recurrent neural network, and/or a spatio-temporally deep neural network are configured to assign labels to words in a word sequence set forth in natural language. At least one label is a semantic label that is assigned to at least one word in the word sequence.

主权项

1. A method executed by a computing device, the method comprising:
receiving a sequence of tokens; responsive to receiving the sequence of tokens, retrieving respective pluralities of feature values for tokens in the sequence of tokens; providing a plurality of feature values corresponding to a token in the sequence of tokens as input to at least one of a computer-implemented deep neural network (DNN) or a computer-implemented recurrent neural network (RNN), the at least one of the computer-implemented DNN or the computer-implemented RNN trained to assign labels to tokens, the labels comprising at least one semantic label; receiving output of the at least one of the DNN or the RNN, the output indicative of a semantic label that is to be assigned to the token; and assigning the semantic label to the token based upon the output of the at least one of the DNN or the RNN.