Machine learning method and information processing apparatus
AssigneeFujitsu Limited
InventorThang Duy DANG
Life of this patent
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Abstract
An information processing apparatus acquires word dictionary data in which strings each representing one of multiple words are mapped to codes each identifying one of the multiple words. The information processing apparatus converts text data into encoded text data by encoding words included in the text data based on the word dictionary data. The information processing apparatus initializes parameters included in a machine learning model based on the word dictionary data and the encoded text data. The information processing apparatus runs a learning process to train, based on the encoded text data, the machine learning model from which the word dictionary data has been detached after the initialization.
Claims5
A machine learning method comprising:
- acquiring, by a processor, word dictionary data in which strings each representing one of a plurality of words used in a natural language are mapped to codes each identifying one of the plurality of words;
- converting, by the processor, text data written in the natural language into encoded text data by encoding words included in the text data based on the word dictionary data;
- initializing, by the processor, parameters included in a machine learning model based on the word dictionary data and the encoded text data;
- and
- running, by the processor, a learning process to train, based on the encoded text data, the machine learning model from which the word dictionary data has been detached after the initializing of the parameters.
A non-transitory computer-readable recording medium storing therein a computer program that causes a computer to execute a process comprising:
- acquiring word dictionary data in which strings each representing one of a plurality of words used in a natural language are mapped to codes each identifying one of the plurality of words;
- converting text data written in the natural language into encoded text data by encoding words included in the text data based on the word dictionary data;
- initializing parameters included in a machine learning model based on the word dictionary data and the encoded text data;
- and
- running a learning process to train, based on the encoded text data, the machine learning model from which the word dictionary data has been detached after the initializing of the parameters.
An information processing apparatus comprising:
- a memory configured to store word dictionary data in which strings each representing one of a plurality of words used in a natural language are mapped to codes each identifying one of the plurality of words and text data written in the natural language;
- and
- a processor coupled to the memory and the processor configured to:
- convert the text data into encoded text data by encoding words included in the text data based on the word dictionary data,
- initialize parameters included in a machine learning model based on the word dictionary data and the encoded text data, and
- run a learning process to train, based on the encoded text data, the machine learning model from which the word dictionary data has been detached after initializing the parameters.
Dependencies are inferred from the claim text.