Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate a dynamic cross-platform ask interface and utilize a cross-platform language processing model to provide platform-specific, contextually based responses to natural language digital text queries. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to extract registered intents from digital text queries to identify platform-specific configurations associated with the registered intents. Utilizing the platform-specific configurations, the disclosed systems can generate tailored platform-specific requests for information, as well as customized end-user search results that cause client devices to efficiently, accurately, and flexibly render platform-specific search results.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate a dynamic cross-platform ask interface and utilize a cross-platform language processing model to provide platform-specific, contextually based responses to natural language digital text queries. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to extract registered intents from digital text queries to identify platform-specific configurations associated with the registered intents. Utilizing the platform-specific configurations, the disclosed systems can generate tailored platform-specific requests for information, as well as customized end-user search results that cause client devices to efficiently, accurately, and flexibly render platform-specific search results.

Abstract: Examples of a textual entailment generation system are provided. The system obtains a query from a user and implements an artificial intelligence component to identify a premise, a word index, and a premise index associated with the query. The system may implement a first cognitive learning operation to determine a plurality of hypothesis and a hypothesis index corresponding to the premise. The system may generate a confidence index for each of the plurality of hypothesis based on a comparison of the hypothesis index with the premise index. The system may determine an entailment value, a contradiction value, and a neutral entailment value based on the confidence index for each of the plurality of hypothesis. The system may generate an entailment result relevant for resolving the query comprising the plurality of hypothesis along with the corresponding entailed output index.

Abstract: Examples of a textual entailment generation system are provided. The system obtains a query from a user and implements an artificial intelligence component to identify a premise, a word index, and a premise index associated with the query. The system may implement a first cognitive learning operation to determine a plurality of hypothesis and a hypothesis index corresponding to the premise. The system may generate a confidence index for each of the plurality of hypothesis based on a comparison of the hypothesis index with the premise index. The system may determine an entailment value, a contradiction value, and a neutral entailment value based on the confidence index for each of the plurality of hypothesis. The system may generate an entailment result relevant for resolving the query comprising the plurality of hypothesis along with the corresponding entailed output index.

Abstract: Methods and kits are provided for inhibiting inflammasome activation in cells of a subject or an inflammation-affected eye in a subject by administering to the subject a composition including a nucleotide sequence encoding a membrane independent CD59 protein operably linked to a promoter for expression and secretion of the membrane independent CD59 protein in the cells or the inflammation-affected eye, the composition inhibiting inflammasome activation.

Abstract: A method and system for automatically reserving a room for a meeting is disclosed, in which a user is offered an option for enabling automatic room reservation during the creation of a scheduled meeting. The user can specify the time of the meeting, as well as preferences for the type of room that should be selected. The system can also ensure the availability of a suitable room for recurring meetings.

Abstract: Various embodiments of the disclosed subject matter include computer-implemented methods, computer-readable media, and computer systems configured to respond to a search query from a computer user. In response to receiving a search query from the computer user, search results are obtained. A plurality of user intents are identified according to the obtained search results. The obtained search results are then grouped according to the subject matter of the search results, where each group corresponds to one of the plurality of user intents. A first user intent (with the corresponding group of search results) is selected. A search results page is generated from the search results of the group the search results corresponding to the selected first user intent and the generated search results page is returned to the computer user in response to the search query.

Abstract: Various embodiments of the disclosed subject matter include computer-implemented methods, computer-readable media, and computer systems configured to respond to a search query from a computer user. In response to receiving a search query from the computer user, search results are obtained. A plurality of user intents are identified according to the obtained search results. The obtained search results are then grouped according to the subject matter of the search results, where each group corresponds to one of the plurality of user intents. A first user intent (with the corresponding group of search results) is selected. A search results page is generated from the search results of the group the search results corresponding to the selected first user intent and the generated search results page is returned to the computer user in response to the search query.

Abstract: Various embodiments of the disclosed subject matter include computer-implemented methods, computer-readable media, and computer systems configured to respond to a search query from a computer user. In response to receiving a search query from the computer user, search results are obtained. A plurality of user intents are identified according to the obtained search results. The obtained search results are then grouped according to the subject matter of the search results, where each group corresponds to one of the plurality of user intents. A first user intent (with the corresponding group of search results) is selected. A search results page is generated from the search results of the group the search results corresponding to the selected first user intent and the generated search results page is returned to the computer user in response to the search query.