Abstract: Systems, computer-implemented methods, and computer program products that can facilitate extraction of named entities from document data to support automation applications are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an entity extraction component that extracts, using a first machine learning process, a first data entity and a second data entity from document data indicative of a textual information. The computer executable components can further comprise a relation extraction component that determines, using a second machine learning process, a relation between the first data entity and the second data entity to generate a knowledge data graph used to execute an application associated with natural language processing for the document data.

Abstract: Embodiments relate to an intelligent computer platform to support knowledge graph (KG) driven content generation. A KG is created from one or more knowledge articles. The created KG includes individual nodes representing individual physical object and individual edges representing a hardware state characteristic of a physical object represented in a corresponding node. A trained computer vision model is leveraged to recognize one or more physical components and localize an active state of the recognized physical components. Content is generated responsive to the localized active state and the hardware state characteristic represented in the KG, and a control signal is dynamically issued to an operatively coupled device associated with the generated content. The control signal is configured to selectively control an event injection responsive to synchronization of the recognized one or more physical components and the generated content.

Abstract: Systems, devices, computer-implemented methods, and/or computer program products that facilitate event schema induction from unstructured or semi-structured data. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a schema component and a retrieval component. The schema component can derive an event schema for a document corpus using parsing results obtained from the document corpus. The retrieval component can populate a response to a query with a document of the document corpus using events extracted from the query and the document using the event schema.

Abstract: An example operation may include one or more receiving notifications from one or more monitoring agents, each notification comprising a monitoring agent identifier, one or more configuration changes, and a timestamp corresponding to each configuration change, identifying incremental configuration changes that may require a disaster recovery retest, requesting a partial disaster recovery retest comprising the incremental configuration changes, the partial disaster recovery retest providing test coverage for a subset of a full disaster recovery test plan, and providing a request to a blockchain network to store information for the received notifications to a shared ledger of the blockchain network.

Abstract: A semiconductor device and method of manufacturing the same are provided. The semiconductor device may include a substrate, a first via, a first pad, a second pad, and a first passivation layer. The first pad may be over the substrate. The second pad may be over the substrate. The second pad may be parallel to the first pad. The first passivation layer may surround the first pad and the second pad. The first passivation layer may include a first part on the first pad. The first passivation layer may include a second part on the second pad. A thickness of the first part of the first passivation layer may exceed a height of the first pad. A thickness of the second part of the first passivation layer may exceed a height of the second pad.

Abstract: Usage information of a user for a plurality of computing devices is identified. A usage pattern for each computing device of the plurality of computing devices of the user is developed based on the identified usage information of the user. An indication of the user accessing an application on a first computing device of the plurality of computing devices is received. The application requires one or more credentials for an authentication process associated with the application. A determination is made whether the user accessing the application using the first computing device is following the developed usage pattern of the user. Responsive to determining that the user accessing the application using the first computing device is not following developed usage pattern of the user, the authentication process associated with the application is interrupted.

Abstract: A semiconductor device and method of manufacturing the same are provided. The semiconductor device includes an interconnect structure on a substrate; a passivation layer disposed on the interconnect structure; a first via, a second via and a third via disposed in the passivation layer and connected to the interconnect structure, each of the first, second and third vias has an elongated shape longitudinally oriented along a first direction; and a first pad longitudinally oriented along the first direction and landing on the first, second and third vias.

Abstract: An approach for a non-factoid question answering framework across tasks and domains may be provided. The approach may include training a multi-task joint learning model in a general domain. The approach may also include initializing the multi-task joint learning model in a specific target domain. The approach may include tuning the joint learning model in the target domain. The approach may include determining which task of the multiple tasks is more difficult for the multi-task joint learning model to learn. The approach may also include dynamically adjusting the weights of the multi-task joint learning model, allowing the model to concentrate on learning the more difficult learning task.

Abstract: One embodiment of the invention provides a method for terminology ranking for use in natural language processing. The method comprises receiving a list of terms extracted from a corpus, where the list comprises a ranking of the terms based on frequencies of the terms across the corpus. The method further comprises accessing a domain ontology associated with the corpus, and re-ranking the list based on the domain ontology. The resulting re-ranked list comprises a different ranking of the terms based on relevance of the terms using knowledge from the domain ontology. The method further comprises generating clusters of terms via a trained model adapted to the corpus, and boosting a rank of at least one term of the re-ranked list based on the clusters to increase a relevance of the at least one term using knowledge from the trained model.

Abstract: A network performance improvement method and an apparatus for user equipment. In the network performance improvement method, user equipment establishes a first PDN connection and transmits data of a first application program through the first PDN connection. Then, the user equipment starts a second application program and determines whether a current network status satisfies a quality of service requirement of the second application program. When determining that the current network status does not satisfy the quality of service requirement of the second application program, the user equipment starts to establish a second PDN connection, and transmits, after the second PDN connection is successfully established, at least a part of application data of the second application program through the second PDN connection.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate query recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an ontology component that can generate an ontology based on unstructured data of a description of an application programming interface. The computer executable components can further comprise a reasoner component that can identify one or more terms of the ontology that correspond semantically to a term of a query.

Abstract: A voice call method, device and system, the method including establishing, by a first device, a Bluetooth link to a second device, receiving, by the first device, call request information sent by a third device, sending the call request information to a second device through the Bluetooth link, sending, by the first device in response to an answer command from the second device, the answer command to the third device, establishing, by the first device, a call with the third device, sending a downlink audio signal received from the third device to the second device, or sending and uplink audio signal received from the second device to the third device, and converting, by the first device, in response to a sound channel switching command and receiving a downlink audio signal sent by the third device, the downlink audio signal into a sound signal, and playing the sound signal.

Abstract: A method, system, and computer program product for automated evaluation of information retrieval systems are provided. The method accesses a natural language query from a set of natural language queries. The natural language query is associated with a query difficulty level. The method generates one or more natural language responses to the natural language natural language query. Each natural language response is associated with at least one facet of the plurality of facets. The method generates a set of feedback cues. A set of search results for the natural language query are returned. The set of search results include a highest ranked natural language response of the one or more natural language responses. The method generates an evaluation result for the HCIR system for the query difficulty level based on the one or more natural language responses, the set of search results, and the set of feedback cues.

Abstract: A path verification method in a logic circuit includes determining a plurality of first paths that are to be tested in a design for test (DFT) mode, determining a plurality of second paths that are to be tested in a function mode, determining a third path in the plurality of first paths and the plurality of second paths that does not need to achieve optimal performance in the function mode, and setting a time sequence constraint for the third path in the function mode to cause the third path to achieve target performance within a number AA clock cycles. AA is less than or equal to a ratio of a clock frequency in the function mode to a clock frequency in the DFT mode. AA is a positive integer.

Abstract: A clock design method for two or more physical partition structures based on a same system clock. The method includes determining a distance of each circuit logic from the system clock; based on the distance between each circuit logic and the system clock, obtaining a plurality of clock nodes from the system clock to cause a delay of each clock node compared to the system clock to change with the distance from each circuit logic and the system clock, the greater the distance, the greater the delay; connecting each circuit logic to a corresponding clock node based on size of each circuit logic and the distance; and converging timing of each circuit logic by adjusting the delay of each clock node compared to the system clock.

Abstract: Systems, devices, computer-implemented methods, and/or computer program products that facilitate software vulnerability analysis using relationship data extracted from disparate package-related sources. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a knowledge induction component and a vulnerability component. The knowledge induction component can populate a package ontology for a range of packages with relationship data extracted from a plurality of disparate package-related sources. The vulnerability component can identify an implicit vulnerability impacting the range of packages using the package ontology and a vulnerability record regarding an explicit vulnerability for a package within the range of packages.

Abstract: Systems, devices, computer-implemented methods, and/or computer program products that facilitate event schema induction from unstructured or semi-structured data. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a schema component and a retrieval component. The schema component can derive an event schema for a document corpus using parsing results obtained from the document corpus. The retrieval component can populate a response to a query with a document of the document corpus using events extracted from the query and the document using the event schema.

Abstract: A chip design method includes determining a to-be-designed second device in a second module, arranging a second device in the first module, connecting the interface of the first device in the first module and the interface of the second device in the first module, performing physical design by analyzing physical wiring and time sequence convergence between the first device in the first module and the second device, copying the second device in the first module after the physical design as a designed second device in the second module, and disconnecting the interface of the first device in the first module from the interface of the second device in the first module and connecting the interface of the first device in the first module to an interface of the designed second device in the second module.

Abstract: An integrated circuit physical design wiring and optimization method includes, in a first physical design wiring process, performing physical design wiring with a weight of each of one or more signal lines set to a first weight and a weight of a clock line set to a second weight, extracting a violation signal line with a time sequence violation during the first physical design wiring process, and in a second physical design wiring process, reperforming physical design wiring on the violation signal line, a remaining signal line other than the violation signal line, and the clock line with the weight of the violation signal line set to a third weight greater than the first weight. The first weight is less than or equal to the second weight.

Abstract: A packet sending method includes determining, that a multipath connection meets a first condition, where the first condition is used to disable a small packet sending control policy used for the multipath connection, the small packet sending control policy is used to control a time interval at which the sender sends small packets using the multipath connection, and a length of data included in the small packet is less than a maximum segment size (MSS), disabling, by the sender, the small packet sending control policy, and sending, by the sender, a plurality of small packets on a plurality of paths of the multipath connection in a redundant transmission mode after disabling the small packet sending control policy.