Gridlogics announces launch of ReleSense™ — An AI-driven NLP engine built for patent and scientific literature
ReleSense will power a range of semantic search and analysis capabilities in PatSeer.
PatSeer, a leading patent search and analysis solution provider, announces the launch of its NLP text processing engine ReleSense™ that has been trained over patent and scientific literature. With more than 12 million+ semantic rules, the engine is continuously learning from publically available patents, scientific journals, clinical trials and associated data sources. The engine will power a range of AI driven capabilities in PatSeer beginning from search to categorization, predictive-analytics and via APIs it will empower complementary IP solutions.
ReleSense has been coined from the phrase “Relevance that makes Sense” and its core purpose is to provide relevant results and predictions to the end user. To achieve this, ReleSense has been trained to understand patent terminologies and appropriately interpret deep contextualized meanings within patents and scientific literature. As newer technologies keep getting discovered, the interpretations of scientific terms keep evolving over time. ReleSense leverages a continuous learning platform and constantly learns from new patent filings and additional sources thereby improving its knowledge over time. Respecting the sensitivity of user’s data, ReleSense leverages ethical AI and does not use any user provided data such as search queries, annotations or behavior tracking to improve its predictions.
To know more about ReleSence visit — http://bit.ly/2tv7qRc
