Abstract: The embodiments herein provide a method for managing short data service (SDS) disposition notifications in a Mission Critical Data (MCData) communication system. The method includes identifying, by a receiving MCData User Equipment (UE), SDS disposition request type Information Element (IE) in a SDS message received from a transmitting MCData UE. Further, the method includes initiating, by the receiving MCData UE, a timer when the disposition request type Information Element (IE) is set as Delivery and Read. Furthermore, the method includes transmitting, by the receiving MCData UE, a consolidated disposition notification to the transmitting MCData UE by stopping the timer when the SDS message is read before expiry of the timer.

Abstract: Provided is a computer-implemented method, system, and computer program product for process mining asynchronous support conversations using attributed directly follows graphing. A processor may collect a plurality of conversation threads from an asynchronous data stream. The processor may label each utterance of a plurality of utterances from the plurality of conversation threads with an event label. The processor may analyze the event label for each utterance of the plurality of utterances. The processor may generate, based on the analyzing of the event label for each utterance, an attributed directly follows graph (DFG).

Abstract: Methods, systems, and computer program products for generating automation recommendations for ad hoc processes are provided herein. A computer-implemented method includes obtaining workflow data comprising descriptions associated with one or more dynamic processes; creating event logs based at least in part on the descriptions; applying a graph extraction process to derive process flow graphs from the created event logs; generating embeddings of the process flow graphs, wherein the embeddings encode at least one of: one or more structural features and one or more attribute features of the process flow graphs; and identifying at least one of the process flow graphs to be automated based on the generated embeddings; and outputting the identified at least one process flow graph to at least one of: a user and a robotic process automation tool.

Abstract: Methods, systems, and computer program products for adjusting machine learning models based on simulated fairness impact are provided herein. A computer-implemented method includes obtaining, by a central simulation system, policies to be used for performing a simulation involving machine learning models, implemented on different systems, interacting with a target population; providing information for configuring simulators on the different systems, each simulator representing at least the machine learning model of a given one of the different systems; performing iterations of the simulation for the policies, wherein, for each iteration, the central simulation system: predicts a state of the target population, provides the state to the simulators, and collects metrics based on results of the simulators; and selecting and sending one of the policies to at least one of the different systems based on the collected metrics.

Abstract: One embodiment provides a method, including: receiving, from a user and at a user interface of a conversational agent, a query related to a business process; identifying, using process entity extraction on the query, (i) the business process and (ii) a business object corresponding to an entity of the query; mapping the business object to code corresponding to the business object, wherein the mapping comprises (i) mapping the business object to an object within a business process model using a domain dictionary and (ii) accessing code corresponding to the object within the business process model; generating a natural language response responsive to the received query by (i) extracting the code corresponding to the business object, (ii) identifying a rule within the extracted code corresponding to a variable of the query, and (iii) generating the natural language response from the identified rule; and providing the natural language response.

Abstract: Aspects of the present invention disclose a method for debiasing text by neutralizing subjective information while preserving relevant information. The method includes one or more processors determining a sentiment of textual data. The method further includes extracting information that is relevant to resolving a topic that is represented in the textual data. The method further includes debiasing the information that is relevant to resolving a topic that is represented in the textual data. The method further includes validating that the debiased information includes the information that is relevant to resolving the topic that is represented in the textual data. The method further includes generating debiased textual data, the debiased textual data including the debiased information and masking the determined sentiment of the textual data.

Abstract: Aspects of the present invention disclose a method for debiasing text by neutralizing subjective information while preserving relevant information. The method includes one or more processors determining a sentiment of textual data. The method further includes extracting information that is relevant to resolving a topic that is represented in the textual data. The method further includes debiasing the information that is relevant to resolving a topic that is represented in the textual data. The method further includes validating that the debiased information includes the information that is relevant to resolving the topic that is represented in the textual data. The method further includes generating debiased textual data, the debiased textual data including the debiased information and masking the determined sentiment of the textual data.

Abstract: One embodiment provides a method, including: receiving, from a user and at a user interface of a conversational agent, a query related to a business process; identifying, using process entity extraction on the query, (i) the business process and (ii) a business object corresponding to an entity of the query; mapping the business object to code corresponding to the business object, wherein the mapping comprises (i) mapping the business object to an object within a business process model using a domain dictionary and (ii) accessing code corresponding to the object within the business process model; generating a natural language response responsive to the received query by (i) extracting the code corresponding to the business object, (ii) identifying a rule within the extracted code corresponding to a variable of the query, and (iii) generating the natural language response from the identified rule; and providing the natural language response.

Abstract: Methods, systems, and computer program products for complete trace prediction of process instance using multimodal attributes are provided herein. A computer-implemented method includes receiving a request to resolve an issue related to a product and/or a service, wherein the request comprises multimodal data corresponding to at least two modalities; creating a case based on the request, wherein the case comprises a plurality of case attributes corresponding to (i) queue state information related to a status of other pending requests and (ii) the multimodal data; generating a vector representation for the case based on the plurality of case attributes; providing the vector representation as input to a joint machine learning model to determine a sequence of events for resolving the issue, wherein the joint machine learning model is trained based at least in part on prior requests and sequences of events corresponding to the prior requests.

Abstract: A method and system. A library method stub is created in a predefined programming language by use of a library method signature associated with an original library call, at least one idiom sentence, and a call invoking the original library call. Creating the library method stub includes composing source code of the library method stub by matching the at least one idiom sentence with idiom-stub mappings predefined for each basic idiom of at least one basic idiom. The original library call appears in sequential code. The library method signature specifies formal arguments of the original library call. The at least one idiom sentence summarizes memory operations performed by the original library call on the formal arguments. The created library method stub is stored in a database.

Abstract: Methods, systems, and computer program products for integrated curriculum based math problem generation are provided herein. A computer-implemented method includes generating a first map that represents a plurality of concepts pertaining to at least one subject matter area within a curriculum; generating a second map that represents a plurality of concepts pertaining to math word problems associated with the curriculum; determining portions of the first graph that exhibit a structural match to portions of the second graph; automatically creating a math word problem template by extracting multiple variable portions from one of the one or more math word problems associated with the curriculum; and automatically generating an integrated curriculum math word problem by replacing the multiple extracted variable portions in the template with concepts and relationships derived from the portions of the first graph that exhibit a structural match to the portions of the second graph.

Abstract: Methods and arrangements for configuring document editors. A search client add-in is loaded at a document editor. At the document editor, a document is accepted from a search engine. Communication is established between the search client add-in and the search engine. At the search client add-in, supplementary information about the document is received from the search engine. User input about the document is accepted, and is directed to the search engine. The document is informatively enhanced via at least one of: the supplementary information and the user input. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems, and computer program products for extending programmer workbenches for handling programming language differences are provided herein. A method includes determining syntactic differences between a first programming language and a second programming language; determining semantic differences between the first programming language and the second programming language; creating a comparative help list for the first programming language and the second programming language by generating, for each of multiple language elements in the first programming language, an entry for the comparative help list that comprises a correlation of items of content, the items being associated with a given language element of the first programming language to language elements of the second programming language, wherein said correlation is based on (i) the syntactic differences and (ii) the semantic differences; and outputting at least a portion of the comparative help list to a component associated with a user.

Abstract: The system and methods of the various embodiments enable a revenue assurance system to detect revenue leakage by analyzing usage records from one or more sources within a telecommunications network. Discrepancies are identified and corrective action taken where possible. Corrective actions may include requesting source systems to retransmit missing or erroneous records that were detected. This may result in reduced revenue loss for the network operator.

Abstract: One embodiment provides a method for generating a process learning graph and a document output from a recorded process for training a cognitive agent, the method comprising: utilizing at least one processor to execute computer code that performs the steps of: obtaining a recording of a process, wherein the recording comprises a demonstration of executing the process; generating, using the recording, the process learning graph, wherein the process learning graph identifies a process flow; generating, using the recording, the document output, wherein the document output comprises process screen transitions and process steps; and providing the process learning graph and the document output to the cognitive agent. Other aspects are described and claimed.

Abstract: One embodiment provides a method for generating a process learning graph and a document output from a recorded process for training a cognitive agent, the method comprising: utilizing at least one processor to execute computer code that performs the steps of: obtaining a recording of a process, wherein the recording comprises a demonstration of executing the process; generating, using the recording, the process learning graph, wherein the process learning graph identifies a process flow; generating, using the recording, the document output, wherein the document output comprises process screen transitions and process steps; and providing the process learning graph and the document output to the cognitive agent. Other aspects are described and claimed.

Abstract: A method and system. A library method stub is created in a predefined programming language by use of a library method signature associated with an original library call, at least one idiom sentence, and a call invoking the original library call. Creating the library method stub includes composing source code of the library method stub by matching the at least one idiom sentence with idiom-stub mappings predefined for each basic idiom of at least one basic idiom. The original library call appears in sequential code. The library method signature specifies formal arguments of the original library call. The at least one idiom sentence summarizes memory operations performed by the original library call on the formal arguments. The created library method stub is stored in a database.

Abstract: A method and system for creating a library method stub in source code form corresponding to an original library call in machine-executable form. The library method stub is created in a predefined programming language by use of a library method signature associated with the original library call, at least one idiom sentence, and a call invoking the original library call. Creating the library method stub includes composing source code of the library method stub by matching the at least one idiom sentence with idiom-stub mappings predefined for each basic idiom of at least one basic idiom. The original library call appears in sequential code. The library method signature specifies formal arguments of the original library call. The at least one idiom sentence summarizes memory operations performed by the original library call on the formal arguments. The created library method stub is stored in a database.

Abstract: Methods, systems, and computer program products for integrated curriculum based math problem generation are provided herein. A computer-implemented method includes generating a first map that represents a plurality of concepts pertaining to at least one subject matter area within a curriculum; generating a second map that represents a plurality of concepts pertaining to math word problems associated with the curriculum; determining portions of the first graph that exhibit a structural match to portions of the second graph; automatically creating a math word problem template by extracting multiple variable portions from one of the one or more math word problems associated with the curriculum; and automatically generating an integrated curriculum math word problem by replacing the multiple extracted variable portions in the template with concepts and relationships derived from the portions of the first graph that exhibit a structural match to the portions of the second graph.

Abstract: While speculatively executing a given one of a plurality of transactions concurrently executing on a computer, carry out write operations in a local data block, and automatically create an entry in a checkpoint log when reading from a shared memory. Continuously conflict check during read and tentative commit operations, and carry out a partial rollback upon detection of a conflict. The partial rollback is based upon the checkpoint log.