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Generation of sentence representation

專利號(hào)
US11176333B2
公開日期
2021-11-16
申請(qǐng)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

As shown in the example sentence graph 512 in FIGS. 6A and 6B, there are edges connecting individual nodes 610 to the nodes 610 themselves so as to indicate such self-relationship. In the example of FIG. 6B, the directions of the edges indicating the self-relationship are shown. To distinguish from the edges indicating other types of relationships, the type of self-relationship is illustrated by a denotation “rself.”

In an embodiment, to include edges indicating the sequential relationship, the graph generation module 510 may generate the sentence graph 512 further based on the sequential order of the words in the sentence 402. The sequential relationship between the words is also important since a word and its surrounding words may together constitute a phrase. In some embodiments, the syntactic relationship may prioritize the sequential relationship. More specifically, for any two words in the sentence 402, the graph generation module 510 may first determine whether there is a syntactic relationship between the two words. If the graph generation module 510 determines that there is no syntactic relationship between two words in the sentence 402, this module may further determine whether the two words are adjacent to each other (for example, one word is immediately followed by the other) in the sentence 402. If the two words are adjacent to each other, the graph generation module 510 may construct an edge in the sentence graph 512 to connect two of the nodes representing the two words. This edge may indicate a sequential relationship between the two words.

權(quán)利要求

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