International Business Machines Corporation

James H Cross, Iii

James J Fan

Bing Xiang

Bowen Zhou

A computer program that generates a vector representation of a set of natural language text in a natural language processing system by: (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 a dependency parse tree including a root node and a plurality of nodes that depend from the root node, where the root node represents the first set of natural language text, and where the plurality of nodes that depend from the root node represent context features of the first set of natural language text; and (ii) generating, by the natural language processing system, a first vector representation of the first set of natural language text, wherein the generating includes adding vector representations for the context features represented by the plurality of nodes that depend from the root node.

Generating distributed word embeddings using structured information

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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Astoria, NY, United States of America

James H Cross, Iii