Method and Apparatus for Full Natural Language Parsing
First Claim
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1. A method for generating a linguistic parse tree for a sentence, the method comprising the steps of:
- predicting in a computer process a first level of chunk tags for the sentence; and
predicting in a computer process at least a second level of chunk tags for the sentence using the first level or a previous level of chunk tags.
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Abstract
The method and apparatus for discriminative natural language parsing, uses a deep convolutional neural network adapted for text and a structured tag inference in a graph. In the method and apparatus, a trained recursive convolutional graph transformer network, formed by the deep convolutional neural network and the graph, predicts “levels” of a parse tree based on predictions of previous levels.
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Citations
21 Claims
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1. A method for generating a linguistic parse tree for a sentence, the method comprising the steps of:
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predicting in a computer process a first level of chunk tags for the sentence; and predicting in a computer process at least a second level of chunk tags for the sentence using the first level or a previous level of chunk tags. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An apparatus for generating a linguistic parse tree for a sentence, the apparatus comprising:
a processor executing instructions for; predicting a first level of chunk tags for the sentence; and predicting at least a second level of chunk tags for the sentence using the first level or a previous level of chunk tags.
- 17. An apparatus for generating a linguistic parse tree for a sentence, the apparatus comprising a Graph Transformer Network (GTN) for predicting a first level of chunk tags for the sentence, and predicting at least a second level of chunk tags for the sentence using the first level or a previous level of chunk tags.
Specification