GENERATING DISTRIBUTED WORD EMBEDDINGS USING STRUCTURED INFORMATION
First Claim
1. A method comprising:
- receiving, by one or more processors, a first set of natural language text and a set of information pertaining to the first set of natural language text, where the information includes metadata and corresponding contextual information indicating a relationship between the metadata and the first set of natural language text; and
generating, by one or more processors, a first vector representation for the first set of natural language text utilizing the metadata and its corresponding contextual information.
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Abstract
A computer program that uses structured information, such as syntactic and semantic information, as context for representing words and/or phrases as vectors, by performing the following steps: (i) receiving a first set of natural language text and a set of information pertaining to the first set of natural language text, where the information includes metadata and corresponding contextual information indicating a relationship between the metadata and the first set of natural language text; and (ii) generating a first vector representation for the first set of natural language text utilizing the metadata and its corresponding contextual information.
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10 Claims
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1. A method comprising:
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receiving, by one or more processors, a first set of natural language text and a set of information pertaining to the first set of natural language text, where the information includes metadata and corresponding contextual information indicating a relationship between the metadata and the first set of natural language text; and generating, by one or more processors, a first vector representation for the first set of natural language text utilizing the metadata and its corresponding contextual information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification