Abstract: A computer-implemented method for learning unknown concepts during natural language processing is disclosed, including identifying a sentence associated with an unknown concept, selecting a first sequential set of sentences from a first document, including the sentence associated with the unknown concept, one sentence prior, and subsequent to the sentence associated with the unknown concept, selecting a second sequential set of sentences from a second document, including a sentence associated with a known concept, and one sentence prior and subsequent to the sentence associated with the known concept, comparing concepts associated with the first sequential set of sentences and second sequential set of sentences, determining whether an inference can be made between the unknown concept associated with the sentence from the first document and the sentence associated with the known concept associated with the sentence from the second document, and tagging the unknown concept associated with the known concept.

Abstract: Contact tracing during an event is provided. Community interaction information for one or more clusters is determined. The community interaction information for a cluster correlates times and physical locations of one or more individuals within an area corresponding to the cluster. It is determined that a first individual has traveled from a first area corresponding to a first cluster to a second area corresponding to a second cluster. The determination is based, at least in part, on correlated times and physical locations of the first individual. One or more at-risk individuals is identified based, at least in part, on the community interaction information of the second cluster.

Abstract: Contact tracing during an event is provided. Community interaction information for one or more clusters is determined. The community interaction information for a cluster correlates times and physical locations of one or more individuals within an area corresponding to the cluster. It is determined that a first individual has traveled from a first area corresponding to a first cluster to a second area corresponding to a second cluster. The determination is based, at least in part, on correlated times and physical locations of the first individual. One or more at-risk individuals is identified based, at least in part, on the community interaction information of the second cluster.

Abstract: A user can be authenticated via traversal of a three-dimensional structure and entry of an authentication code. For example, a user-entered authentication code can be compared to an authentication code, and a user-selected element of the structure can be compared to a destination element resulting from following an authentication path through the structure beginning at a starting element. As another example, a user-selected ordered series of elements of the structure and corresponding user-entered sub-codes can be respectively compared to an authentication ordered series of elements of the structure resulting from following ordered steps of an authentication path through the structure beginning at the starting element and to sub-codes of an authentication code.

Abstract: A user can be authenticated via traversal of a three-dimensional structure and entry of an authentication code. For example, a user-entered authentication code can be compared to an authentication code, and a user-selected element of the structure can be compared to a destination element resulting from following an authentication path through the structure beginning at a starting element. As another example, a user-selected ordered series of elements of the structure and corresponding user-entered sub-codes can be respectively compared to an authentication ordered series of elements of the structure resulting from following ordered steps of an authentication path through the structure beginning at the starting element and to sub-codes of an authentication code.

Abstract: Illustrative embodiments provide a computer implemented method, an apparatus and a computer program product for email change tracking. In an illustrative embodiment the computer implemented method comprises receiving an email having an annotation defining an annotated portion within the email to form a received email. The received email is parsed with a first parser, the first parser capable of ignoring the annotated portion to form a parsed first portion and a second parser capable of parsing the annotated portion to form a parsed annotated portion. The first parsed portion and parsed annotated portion are each processed to form a respective result which is combined and displayed, indicating changes to a user.

Abstract: Illustrative embodiments provide a computer implemented method, an apparatus and a computer program product for email change tracking. In an illustrative embodiment the computer implemented method comprises receiving an email having an annotation defining an annotated portion within the email to form a received email. The received email is parsed with a first parser, the first parser capable of ignoring the annotated portion to form a parsed first portion and a second parser capable of parsing the annotated portion to form a parsed annotated portion. The first parsed portion and parsed annotated portion are each processed to form a respective result which is combined and displayed, indicating changes to a user.