Verint Systems has patented a computerized system for human-machine conversations using non-ontological hierarchies based on psycholinguistic and neuro-linguistic evidence. The system analyzes natural language inputs, identifies related words, and calculates statistical measures to produce intelligent responses. GlobalData’s report on Verint Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Verint Systems, Network traffic analysis was a key innovation area identified from patents. Verint Systems's grant share as of May 2024 was 32%. Grant share is based on the ratio of number of grants to total number of patents.
Conversational system using non-ontological hierarchy for language models
A recently granted patent (Publication Number: US11989521B2) discloses a computerized system designed for conducting human-machine conversations. The system includes a computer with a processor connected to memory storing language processing software. This software comprises a network of associations between base words and related words, organized according to domains of words. The system utilizes parent-child relationship definitions, functions-like relationship definitions, and statistical measures to analyze and respond to natural language inputs. By identifying base words, related words, and relationship structures, the system calculates the statistical measures of relationships and generates responses using terms from the respective domain of words.
Furthermore, the patented system includes features such as calculating a similarity vector between base words, functions-like phrases, and target words, narrowing down language domains by identifying common terms, parsing natural language inputs to extract base words and clauses, and utilizing a multi-dimensional model for the network of associations. By implementing these functionalities, the system aims to enhance the efficiency and accuracy of human-machine conversations by analyzing language inputs, identifying relationships between words, and generating appropriate responses based on the context and domain of words. This patent highlights advancements in language processing technology, particularly in the field of natural language understanding and conversation management, offering potential applications in various interactive systems and platforms.
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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.
