Korea Electric Power had 43 patents in artificial intelligence during Q1 2024. The patent filed by Korea Electric Power Corp in Q1 2024 describes a method for generating a word embedding library from original text composed of Hangul. This method involves segmenting the text by morpheme, combining morphemes according to a preset rule, matching tags to the combinations of morphemes based on attributes, and classifying the morphemes to create the word embedding library. GlobalData’s report on Korea Electric Power gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Korea Electric Power grant share with artificial intelligence as a theme is 13% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Apparatus and method for generating word embedding library (Patent ID: US20240104300A1)
The patent filed by the Korea Electric Power Corp. describes a method and apparatus for generating a word embedding library using Hangul text. The process involves segmenting the text by morpheme, combining them based on preset rules, and matching tags to the combinations of morphemes according to their attributes. The resulting word embedding library classifies the morphemes based on the matched tags, aiding in language processing tasks.
The apparatus includes components such as an input interface, processor, display, and memory to facilitate the generation of the word embedding library. The processor performs various functions like matching part-of-speech tags, identifying different types of words, and creating tags for compound words and phrases. The method outlined in the patent involves similar steps, with the processor segmenting the text, combining morphemes, and matching tags to create the word embedding library. The detailed process includes identifying different types of words, phrases, and clauses, and assigning appropriate tags to them based on their attributes, ultimately enhancing the understanding and processing of the Hangul text.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
