Abstract: In some examples, systems and methods for eligibility evaluation are provided. For example, a method includes: receiving an input associated with an eligibility type that is used to determine whether one or more criteria are satisfied; generating a first criterion object type based at least in part on the input and being associated with at least one of the one or more criteria, the first criterion object type being one of a plurality of criterion object types associated with the eligibility type object type, the first criterion object type including a first criterion field for an indication of a criterion evaluation modality and a second criterion field for an indication of an instruction; and linking the first criterion object type to an eligibility type object type representing the eligibility type, the eligibility type object type associating with a plurality of criterion object types including the first criterion object type.

Abstract: In some examples, systems and methods for document writing and/or document generation are provided. For example, a method includes: identifying one or more document types associated with a request, each document type being associated with a document template; extracting one or more pieces of evidence from one or more data records based on the request; accessing one or more routes for document generations, each route of the one or more routes using one or more template-specific computing models; generating one or more documents using the one or more routes; and outputting a selected document that is selected from the one or more generated documents.

Abstract: System and method for k-anonymization with a target k-value according to certain embodiments. For example, a method includes: receiving an input dataset; receiving a k-value, the k-value being a positive integer; receiving one or more quasi-identifiers corresponding to one or more data fields in the input dataset; receiving a data suppression strategy including one or more transformation steps, at least one transformation step of the one or more transformation steps associated with at least one quasi-identifier of one or more one or more quasi-identifiers; and applying the one or more transformation steps to the input dataset to generate a suppressed dataset including at least one suppressed data field corresponding to the at least one data field; checking an anonymity value of each data record of a plurality of data records in the suppressed dataset; selecting a subset of the suppressed dataset from the suppressed dataset.

Abstract: A system and method for instant voice messaging in a telecommunication system. Users are able to compose, store, retrieve or listen to short messages. The instant voice messaging system provides two operating modes: auto mode and prompt mode. In auto mode, the instant voice message is played on the destination telephone set without user intervention. In prompt mode, the user at the destination telephone set controls playback of the instant voice message. According to another aspect, the instant voice messaging system provides a whisper mode of operation which allows voice messages to be sent and received when the user at the originating set and/or destination set is involved in another call.

Abstract: A system and method for instant voice messaging in a telecommunication system. Users are able to compose, store, retrieve or listen to short messages. The instant voice messaging system provides two operating modes: auto mode and prompt mode. In auto mode, the instant voice message is played on the destination telephone set without user intervention. In prompt mode, the user at the destination telephone set controls playback of the instant voice message. According to another aspect, the instant voice messaging system provides a whisper mode of operation which allows voice messages to be sent and received when the user at the originating set and/or destination set is involved in another call.