International Business Machines Corporation

Anupama Ray

Amitkumar Manoharrao Paradkar

Nicholas Tsang

Nikhil Malhotra

Chandresh Kumar Maurya

Christopher Fryett

Florian Wilhelm

A computer-implemented method, system and computer program product for generating rules to be utilized by a rule-based system. A parser analyzes a received string of words according to grammatical rules to generate a parse tree. The parse tree may then be reviewed by a user to determine if such a parse tree represents the appropriate syntactic structure of the string of words. If the user believes that the parse tree does not represent the appropriate syntactic structure of the string, then the user, who does not need to possess the expertise of natural language processing, may select the nodes and/or edges of the parse tree in a particular order that corresponds to the correct syntactic structure of the string of words. A grammatical rule is then created for parsing the string of words based on the user selection of nodes and/or edges of the parse tree in a particular order.

Self-learning annotations to generate rules to be utilized by rule-based system

The approach for automatically adjusting display setting for a user that uses corrective lens or not is disclosed. The approach determines whether a user is wearing corrective visual lens. If the user is not wearing correct visual lens, then the system measures the ocular features of the user via sensors. The system then transmits data associated with the ocular features to a deep learning server wherein the deep learning server analyzes the data. The server generates a customized display setting based on the analyzed data. The system receives the display setting from the deep learning server and automatically adjusts the display setting on a device of the user based on the received display setting.

Approach for automatically adjusting display screen setting based on machine learning

Growing community of inventors

Bengaluru, India

Anupama Ray