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Generation of sentence representation

專利號
US11176333B2
公開日期
2021-11-16
申請人
International Business Machines Corporation(US NY Armonk)
發(fā)明人
Bang An; HongLei Guo; Shiwan Zhao; Zhong Su
IPC分類
G06F40/56; G06F40/30; G06F40/289; G06F40/58
技術(shù)領(lǐng)域
sentence,graph,word,nodes,node,syntactic,in,neighbor,may,cloud
地域: NY NY Armonk

摘要

Embodiments of the present disclosure relate to generation of sentence representation. In an embodiment, a method is disclosed. According to the method, a sentence graph is generated from a sentence containing words, the sentence graph comprising nodes representing the words and edges connecting the nodes to indicate relationships between the words. Word representations for the plurality of words are determined based on the sentence graph by applying a graph convolution operation on respective sets of neighbor nodes for respective ones of the nodes, a set of neighbor nodes for a node having edges connected with the node. A sentence representation for the sentence is determined based on the word representations for use in a natural language processing task related to the sentence. In other embodiments, a system and a computer program product are disclosed.

說明書

In some embodiments, applying the graph convolution operation based on the weights comprises: applying, by one or more processors, the graph convolution operation based on at least one of the following: a first set of weights specific to types of the relationships indicated by the edges between the set of neighbor nodes and the given node, and a second set of weights each determined based on the numbers of nodes having edges connected with respective neighbor nodes in the set of neighbor nodes and the number of nodes in the set of neighbor nodes.

In some embodiments, applying the graph convolution operation comprises: applying, by one or more processors, a first graph convolution on the set of neighbor nodes based on the first weights to obtain a first intermediate representation; applying, by one or more processors, a second graph convolution on the set of neighbor nodes based on the second weights to obtain a second intermediate representation; and combining, by one or more processors, the first and second intermediate representations to obtain the word representation.

In some embodiments, the edges comprise a first directed edge from the given node to a further node in the set of neighbor nodes and a second directed edge from the further node to the given node, the first directed edge indicating a first relationship from a given word represented by the given node to a further word represented by the further node, the second directed edge indicating a second relationship from the further word to the given word. In some embodiments, the first set of weights comprises a weight specific to a type of the second relationship instead of to a type of the first relationship.

權(quán)利要求

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