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.

Abstract: Disclosed are an apparatus and method for detecting a debatable document. According to an embodiment of the present disclosure, the method for detecting a debatable document includes the steps of receiving a document including one or more sentences; generating an embedding vector for each of words included in the document; and extracting features of the document from an embedding vector matrix including the embedding vectors for the words, and detecting debatability of the document from the extracted features through a detection model including a two-step convolutional neural network.

Abstract: Disclosed are an apparatus and method for detecting a debatable document. According to an embodiment of the present disclosure, the method for detecting a debatable document includes the steps of receiving a document including one or more sentences; generating an embedding vector for each of words included in the document; and extracting features of the document from an embedding vector matrix including the embedding vectors for the words, and detecting debatability of the document from the extracted features through a detection model including a two-step convolutional neural network.

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.