Abstract: A method includes translating a source to generate a translated source, extracting a set of terms from one of the source and the translated source comprising at least a first term and a second term related to the first term, comparing the extracted set of terms with at least one translation pair, and determining a correct translation based on the comparison.

Abstract: A method includes translating a source to generate a translated source, extracting a set of terms from one of the source and the translated source comprising at least a first term and a second teim related to the first term, comparing the extracted set of terms with at least one translation pair, and determining a correct translation based on the comparison.

Abstract: A method for automatically determining an Internet home page corresponding to a named entity identified by a specified descriptor including building a trained machine-learning model, generating candidate matches from the specified descriptor, wherein each candidate match includes an Internet address, extracting content-based features from websites associated with the Internet addresses of the candidate matches, determining a model score for each candidate match based on the content-based features using the trained machine-learning model, and determining a match from among the candidate matches according to the scores, wherein the match is returned as the Internet home page corresponding to the named entity.

Abstract: A method for automatically determining an Internet home page corresponding to a named entity identified by a specified descriptor including building a trained machine-learning model, generating candidate matches from the specified descriptor, wherein each candidate match includes an Internet address, extracting content-based features from websites associated with the Internet addresses of the candidate matches, determining a model score for each candidate match based on the content-based features using the trained machine-learning model, and determining a match from among the candidate matches according to the scores, wherein the match is returned as the Internet home page corresponding to the named entity.

Abstract: The present invention employs data processing systems to handle debt collection by formulation the collections process as a Markov Decision Process with constrained resources, thus making it possible automatically to generate an optimal collections policy with respect to maximizing long-term expected return throughout the course of a collections process, subject to constraints on the available resources possibly in multiple organizations. This is accomplished by coupling data modeling and resource optimization within the constrained Markov Decision Process formulation and generating optimized rules based on constrained reinforcement learning process comprising applied on the basis of past historical data.

Abstract: The present invention employs data processing systems to handle debt collection by formulation the collections process as a Markov Decision Process with constrained resources, thus making it possible automatically to generate an optimal collections policy with respect to maximizing long-term expected return throughout the course of a collections process, subject to constraints on the available resources possibly in multiple organizations. This is accomplished by coupling data modeling and resource optimization within the constrained Markov Decision Process formulation and generating optimized rules based on constrained reinforcement learning process comprising applied on the basis of past historical data.

Abstract: A system and method to facilitate communications among team members or subscribers using a virtual assistant and a derived points of contact (POC) list to initiate contacts. The virtual assistant automates the task of reaching a party to be contacted through trying a variety of POC options until a connection is established or the options are exhausted. The system takes advantage of the POC provided by a person to be contacted, reducing the burden of maintaining a complete personal contact list by each team member or subscriber. The virtual assistant uses the derived POC list to establish a preferred method for contacting a team member or subscriber.