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US 11,443,118 B2Granted
Word embedding method and apparatus, and word search method
AssigneeSamsung Electronics Co., Ltd.
InventorsSanghyun Yoo, Young-Seok Kim, Junhwi Choi
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Abstract
A word embedding method and apparatus and a word search method are provided, wherein the word embedding method includes training a word embedding model based on characteristic information of a chemical substance, and acquiring an embedding vector of a word representing the chemical substance from the word embedding model, wherein the word embedding model is configured to predict a context word of an input word.
Claims17
A word embedding method comprising:
- training a word embedding model based on characteristic information of a chemical substance to output a context word of a word representing the chemical substance, in response to an input of composition information of the chemical substance;
- and
- acquiring an embedding vector of the word representing the chemical substance from the word embedding model,
- wherein the word representing the chemical substance is split into letters or elements and the letters or the elements are sequentially input to the word embedding model.
1 more element
A word search method comprising:
- receiving characteristic information of a chemical substance or a word representing the chemical substance;
- and
- outputting a word representing a substance having a characteristic similar to the chemical substance based on a word embedding matrix,
- wherein the word embedding matrix is acquired from a word embedding model trained based on characteristic information of a plurality of chemical substances to output a context word of a word representing the chemical substance, in response to an input of composition information of the chemical substance, and
- wherein the word representing the chemical substance is split into letters or elements and the letters or the elements are sequentially input to the word embedding model is configured to predict a context word of an input word.
2 more elements
The word embedding apparatus comprising:
- a processor configured to:
- train a word embedding model to output physical property information of a chemical substance based on characteristic information of the chemical substance;
- and
- acquire an embedding vector of a word representing the chemical substance from the word embedding model, and
- the word embedding model is configured to predict a context word of an input word,
- wherein the physical property information comprises information about any one or any combination of a mass, a volume, a color, a melting point, and a boiling point of the chemical substance.
3 more elements
Dependencies are inferred from the claim text.