Apparatus and method for augmenting textual data
AssigneeSamsung Sds Co., Ltd.
InventorsNa Un Kang, Geon Yi, Min Young Lee, Min Soo Kim
Life of this patent
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Abstract
An apparatus for augmenting textual data according to an embodiment includes a data augmenter configured to generate augmented data by augmenting input textual data according to a data augmentation scheme decided based on a type of natural language processing task of the input textual data and a data classifier configured to classify the augmented data into a positive sample or a negative sample by determining whether or not the augmented data maintains label information of the input textual data based on one or more data classification criteria.
Claims22
An apparatus for augmenting textual data, the apparatus comprising:
- a data augmenter configured to generate augmented data by augmenting input textual data according to a data augmentation scheme decided based on a type of natural language processing task of the input textual data;
- and
- a data classifier configured to classify the augmented data into a positive sample or a negative sample by determining whether or not the augmented data maintains label information of the input textual data based on one or more data classification criteria,
- wherein the data classifier comprises at least one of:
- a first analyzer configured to decide whether or not the augmented data is the positive sample or the negative sample using a mapping table preset according to the data augmentation scheme and the type of natural language processing task of the input textual data;
- a second analyzer configured to analyze whether or not the augmented data satisfies grammar to decide whether or not the augmented data is the positive sample or the negative sample;
- or
- a third analyzer configured to compare a predicted value of user input label with a label of the augmented data to decide whether or not the augmented data is the positive sample or the negative sample.
A method for augmenting textual data comprising:
- generating augmented data by augmenting input textual data according to a data augmentation scheme decided based on a type of natural language processing task of the input textual data;
- and
- classifying the augmented data into a positive sample or a negative sample by determining whether or not the augmented data maintains label information of the input textual data based on one or more data classification criteria,
- wherein the classifying of the augmented data comprises classifying the augmented data using at least one of:
- a first analysis method for deciding whether or not the augmented data is the positive sample or the negative sample using a mapping table preset according to the data augmentation scheme and the type of natural language processing task of the input textual data;
- a second analysis method for analyzing whether or not the augmented data satisfies grammar to decide whether or not the augmented data is the positive sample or the negative sample;
- or
- a third analysis method for comparing a predicted value of user input label with a label of the augmented data to decide whether or not the augmented data is the positive sample or the negative sample.
Dependencies are inferred from the claim text.