Screen had nine patents in artificial intelligence during Q4 2023. Screen Holdings Co Ltd filed a patent for a method of generating semantic representations from text data using syntax analysis and concept tagging. The method involves assigning concept tags to morphemes based on syntax data and providing semantic tags to indicate relationships between phrases. This allows for the generation of semantic representation data. GlobalData’s report on Screen gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Screen grant share with artificial intelligence as a theme is 11% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Semantic representation generation method, semantic representation generation device, and recording medium (Patent ID: US20230359831A1)
The patent filed by Screen Holdings Co Ltd describes a semantic representation generation method that involves preparing a CT system table with concept information for morphemes, performing text analysis to generate syntax data, providing concept tags to morphemes based on syntax data, and generating semantic representation data based on concept tags and semantic tags indicating relations between phrases. The method aims to create a structured representation of natural language text by analyzing syntax and semantics to capture meaning hierarchically and ambiguously.
Additionally, the patent includes claims for a semantic representation generation method that involves preparing an ST system table for determining semantic tags, providing semantic tags based on syntax data, and generating semantic representation data. The method also includes rules for determining pairs of phrases to which semantic tags should be provided, based on concept tags and syntax data. The patent further describes a semantic representation generation device and a recording medium with a program for executing the method, emphasizing the importance of concept information, syntax analysis, and semantic relations in generating accurate semantic representation data from natural language 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.
