Abstract: An apparatus comprises at least one processing device configured to receive a query to determine associations between named entities and aspect terms for a document, to generate, utilizing a first machine learning model, a first set of encodings classifying words of the document as being aspect or non-aspect terms, to generate, utilizing a second machine learning model, a second set of encodings classifying associations of the words, and to determine, for a given aspect term, attention weights for a given subset of the words surrounding the given aspect term. The processing device is also configured to generate, utilizing a third machine learning model, predictions of association between the given aspect term and named entities recognized in the given subset of the words, and to provide a response to the query comprising at least one of the predicted associations.

Abstract: A communication system includes a plurality of eNodeBs (eNBs) configured to serve one or more user equipments (UEs). The plurality of eNBs includes a first eNB and a second eNB. The first eNB is configured to wirelessly communicate on a resource with the second eNB. The resource includes a time resource and/or a frequency resource. The first and second eNBs are configured to cooperatively serve the one or more UEs. The first and second eNBs are configured to engage in wireless communication following a predetermined schedule known to the plurality of eNBs.

Abstract: A communication system includes a plurality of eNodeBs (eNBs) configured to serve one or more user equipments (UEs). The plurality of eNBs includes a first eNB and a second eNB. The first eNB is configured to wirelessly communicate on a resource with the second eNB. The resource includes a time resource and/or a frequency resource. The first and second eNBs are configured to cooperatively serve the one or more UEs. The first and second eNBs are configured to engage in wireless communication following a predetermined schedule known to the plurality of eNBs.

Abstract: A method for batch manufacturing of slabs for zig-zag lasers including steps of bonding two non-active media to either side of an active medium to form a sandwich, dicing the sandwich to provide slices, rendering two surfaces of each slice into total-internal-reflection (TIR) surfaces, and then dicing the slices perpendicular to the TIR surfaces to provide a plurality of zig-zag slabs.