Abstract: Examples described herein provide a computer-implemented method that includes receiving a ground truth associated with a domain cartridge, the domain cartridge comprising a plurality of hierarchical layers. The method further includes analyzing annotation blocks in relation to data present in the ground truth to detect any errors in a set of natural language processing annotators. The analyzing includes computing a recall score, a precision score, and an F1 score for each annotation block in a lowest level layer of the plurality of hierarchical layers. The analyzing further includes determining whether an error is detected at the lowest level layer of the plurality of hierarchical layers based at least in part on the recall score, the precision score, and the F1 score. The analyzing further includes terminating the analyzing responsive to determining that the error is detected at the lowest level layer of the plurality of hierarchical layers.

Abstract: A cloud-based system for providing data security, the system having a processor which creates a source data file; wherein the source data file is split into one or more fragments; an encryption key associated with the one or more fragments; and wherein the one or more fragments are encrypted by the encryption key; a plurality of cloud storage providers; wherein the one or more fragments are distributed among the plurality of cloud storage providers whereby no single cloud storage provider possesses all of the one or more fragments; a pointer file which is created on a local computer; wherein the pointer file stores the location of the one or more fragments; and wherein the pointer file is accessed; the encryption key authenticates the plurality of cloud storage providers; the one or more fragments are transferred from the plurality of cloud storage providers to the local computer; and wherein the one or more fragments are reassembled; and the source data file is deleted.

Abstract: Techniques for cognitive corpora analysis are provided. Vector representations are generated by processing documents in a corpus using a passage encoder. One or more concepts are identified in the documents by processing the documents with the passage encoder, where the concepts are assigned respective importance scores by the passage encoder. Further, a selection of a document is received, and a sub-corpus of documents is generated by computing a similarity measure between the vector representation of the first document and the vector representation of at least one other document in the corpus. An overall importance score is generated for a first concept, with respect to the generated sub-corpus, by identifying a respective importance score of the first concept in at least two respective documents in the sub-corpus, and aggregating the respective importance scores. Finally, an indication of the generated overall importance score is provided.

Abstract: The present invention relates to a tobacco industry product component comprising a wall circumscribing a cavity. A plurality of additive capsules and a plurality of particles are disposed in the cavity. The particles are configured such that, in use, the particles promote breaking of the additive capsules upon the application of an external force to the wall of the tobacco industry product component by a user. The particles may comprise a material having a particle density of at least 1 g/cc. There is also provided a method of manufacturing a tobacco industry product component.

Abstract: Examples described herein provide a computer-implemented method that includes receiving, by a processing device, the span of text, the span of text comprising a plurality of elements including at least an entity element and a temporal element. The method further includes organizing, by the processing device, the span of text as a natural language processing (NLP) parse tree. The method further includes traversing, by the processing device, the NLP parse tree by concatenating individual nodes of the span of text to generate the relation type between the entity element and the temporal element. The method further includes associating, by the processing device, the entity element, the relation type, and the temporal element together.

Abstract: An automated swarming vehicle test environment includes a vehicle automation platform (VAP), a first swarming vehicle, and a second swarming vehicle. In some embodiments, a first test plan is created by a VAP for a first swarming vehicle. The first test plan comprises: a time series of vehicle trajectory data for the first swarming vehicle, and position data for the first swarming vehicle relative to a test vehicle. The first test plan is sent from the VAP to the first swarming vehicle. In some embodiments, a second test plan is created by the VAP for a second swarming vehicle. The second test plan comprises: a time series of vehicle trajectory data for the second swarming vehicle, and position data for the second swarming vehicle relative to the test vehicle. The second test plan is sent from the VAP to the second swarming vehicle.

Abstract: Methods and systems for preparing slurries for treating subterranean formations are provided herein. The methods may include: combining proppant particulates and a base fluid at a well site to form a slurry; and extracting dust from a mixing tank at a well site in which the slurry is disposed. The systems may include: a first tank containing proppant particulates located at a wellsite; a second tank containing a base fluid located at a well site; at least one mixer operable to receive and mix at least a portion of the proppant particulates from the first tank and at least a portion of the base fluid from the second tank at the well site to form a slurry; at least one mixing tank operable to receive the slurry from the mixer; and at least one dust extractor operable to extract dust from the at least one mixing tank.

Abstract: Aspects of the invention include systems and methods for the propagation of annotation metadata to overlapping annotations of a synonymous type. A non-limiting example computer-implemented method includes performing a comparison of a set of annotations to detect a subset of annotations that are candidates of being synonymous based on a first analysis. Whether a first annotation of the subset of annotations is synonymous with a second annotation of the subset of annotations is determined based on a second analysis. Distinct annotation metadata of the first annotation are cross-propogated with annotation metadata of the second annotation based on the second analysis.

Abstract: A method is provided for authenticating dynamically generated virtual credit card (VCC) data or virtual account number (VAN) data assigned to an electronic account for network distribution to one or more than one transaction device for use in electronic transacting.

Abstract: A method is provided for authenticating dynamically generated virtual credit card (VCC) data or virtual account number (VAN) data assigned to an electronic account for network distribution to one or more than one transaction device for use in electronic transacting.

Abstract: A computer-implemented method, system and computer program product for automatically bootstrapping a domain-specific vocabulary from at least one source document using one or more computers, by: (a) encoding one or more passages in the source document to identify one or more relevant words therein, wherein the encoding assigns an importance to the relevant words using an attention mechanism (AM) on top of a recurrent neural network (RNN); (b) expanding the relevant words using word embedding distance, ontology information, or multi-part analogies; and (c) mapping the expanded words to concepts for inclusion into the domain-specific vocabulary, wherein concept disambiguation is performed to ensure that incorrect concepts are not included into the domain-specific vocabulary.

Abstract: Methods, systems, and computer program products for expanded concept matching are provided. Aspects include receiving an ontology, determining a set of target concepts, building a cache from the ontology, the cache comprising a set of expressions extracted from the ontology for each target concept in the set of target concepts, receiving a document, determining a first segment of text in the document based on the set of target concepts, and annotating the first segment of text by comparing the set of target concepts to the set of expressions in the cache.

Abstract: Embodiments include methods, system and computer program products for processing a scanned document. Aspects include obtaining an image of the scanned document and identifying a boundary of a portion of the scanned document, wherein the portion includes at least partially obscured text. Aspects also include performing optical character recognition on the image of the scanned document to extract text from the document. Aspects further include performing additional processing on the text extracted from inside the portion of the document.

Abstract: Methods, systems, and computer program products for semantic search are provided. Aspects include receiving a query, the query comprising one or more search concepts, determining a semantic type from a plurality of semantic types for each of the one or more search concepts, analyzing the one or more search concepts to determine one or more relationships associated with the one or more search concepts, and determining one or more search results from a corpus based at least in part on the one or more relationships and the one or more search concepts.

Abstract: Techniques for cognitive annotation are provided. An electronic document including textual data is received. A plurality of importance scores are generated for a plurality of words included in the electronic document by processing the electronic document using a trained passage encoder. Important words are identified based on the plurality of importance scores. One or more clusters of words are generated, where each of the one or more clusters of words includes at least one of the plurality of important words. A representative word is selected for a first cluster, and the representative word is mapped to one or more concepts from a predefined list of concepts. The one or more concepts are disambiguated to identify a set of relevant concepts for the electronic document. An annotated version of the electronic document is generated based at least in part on the set of relevant concepts.

Abstract: A luminaire including a housing, a light emitter supported by the housing, and a cover removably coupled to the housing, where the cover includes a lens substantially covering the light emitter. An end cap is removably coupled to the housing and positioned substantially flush with the lens. A coupling mechanism couples the end cap to the housing, where the end cap substantially covers the coupling mechanism while coupled to the housing.

Abstract: A two part dual layer transaction device comprising a computerized master unit powered by rechargeable battery, the master unit capable of connecting wirelessly to a data network and accessing at least one network server, the master unit having a length, a width, and an internal volume, and a transaction card element having a form factor acceptable for use as a debit or credit card, wherein the transaction card element may be docked or otherwise coupled to the master unit in an idle state and may be uncoupled by the user for the purpose using or cleaning the card element.

Abstract: A method of assembly of a drive shaft comprising providing a tubular member 12 of composite material form, fitting a collar 24 of composite material form to an exterior of an end part of the tubular member 12 to inwardly compress the end part of the tubular member 12, and subsequently press fitting part 14a, 16a of an end fitting 14, 16 into the interior of the end part of the tubular member 12. A drive shaft 10 manufactured in this manner is also described.

Abstract: A luminaire includes a housing with a cavity, a non-planar lens, and a light emitter. The non-planar lens is coupled to the housing. The lens defines a generally circular footprint and a concavo-convex shape. The light emitter is positioned proximate an edge of the cavity and is configured to emit light into an edge of the lens and toward a center of the cavity.

Abstract: A luminaire including a housing, a light emitter supported by the housing, and a cover removably coupled to the housing, where the cover includes a lens substantially covering the light emitter. An end cap is removably coupled to the housing and positioned substantially flush with the lens. A coupling mechanism couples the end cap to the housing, where the end cap substantially covers the coupling mechanism while coupled to the housing.