US 10,949,615 B2Granted

Apparatus and method for verifying sentence

AssigneeNCSOFT Corporation

InventorsHyung Jong Noh, Yeon Soo Lee, Jung Sun Jang, Sang Min Heo

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Abstract

Disclosed are an apparatus and method for verifying a sentence. According to one embodiment of the present disclosure, the method for verifying a sentence includes receiving a sentence automatically generated from a plurality of pieces of data, and the plurality of pieces of data; generating a first embedding vector for each word included in the sentence; generating a second embedding vector for each of the plurality of pieces of data; and generating a verification result value regarding the sentence by using a determination model including a first convolutional neural network for generating a feature vector from the first embedding vector and a second convolutional neural network for generating a feature vector from the second embedding vector.

Claims12

Dependent claims

A method for verifying a sentence performed in a computing device comprising one or more processors and a memory configured to store one or more programs to be executed by the one or more processors, the method comprising:

receiving a sentence automatically generated from a plurality of pieces of data, and the plurality of pieces of data;
generating a first embedding vector for each word included in the sentence;
generating a second embedding vector for each of the plurality of pieces of data;
and
generating a verification result value regarding the sentence by using a determination model comprising a first convolutional neural network for generating a feature vector from the first embedding vector and a second convolutional neural network for generating a feature vector from the second embedding vector,
wherein the plurality of pieces of data include structured data, and
wherein the verification result value indicates whether or not the sentence is correctly generated from the plurality of pieces of data.

4 more elements

An apparatus for verifying a sentence, the apparatus comprising:

one or more hardware processors and one or more computer readable media storing instructions that, when executed by the one or more hardware processors, cause the apparatus to:
receive a sentence automatically generated from a plurality of pieces of data, and the plurality of pieces of data;
generate a first embedding vector for each word included in the sentence;
generate a second embedding vector for each of the plurality of pieces of data;
and
generate a verification result value regarding the sentence by using a determination model comprising a first convolutional neural network for generating a feature vector from the first embedding vector and a second convolutional neural network for generating a feature vector from the second embedding vector,
wherein the plurality of pieces of data include structured data, and
wherein the verification result value indicates whether or not the sentence is correctly generated from the plurality of pieces of data.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/851,626Filed 21 Dec 2017
Priority: KR 10-2016-018261329 Dec 2016
Published: US 2018/0189271 A15 Jul 2018
Granted: 16 Mar 2021
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06F 40/30
Handling natural language data: semantic analysis
G06F 40/253
Natural language analysis: grammatical analysis; Style critique
G06N 3/045
Architecture, e.g. interconnection topology: combinations of networks
G06N 3/0464
Architecture, e.g. interconnection topology: convolutional networks [CNN, ConvNet]