Abstract: The present teaching relates to method, system, and medium for generating training data for generating a relationship identification model. Sentences are received as input. Each of the sentences is aligned with a fact previously stored to create an alignment. Confidence scores for the alignments are computed and then used, together with the alignments to train a relationship identification model.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosure provides a computerized framework for automatically generating chatbot responses to produce domain-specific responses that mimic native styles unique to particular domains. The disclosed systems and methods construct domain-specific word-graphs based on account activity from specific domains and generate word-patterns. New words obtained from the patterns in the graph are introduced to transform the regular response. The graph is then pruned using data-driven thresholds in order to avoid spurious transformations, and paragraph vectors are also utilized to assign relevance scores to generated patterns such that only the patterns that are contextually similar to the original response (generic/regular response) are used.

Abstract: The present teaching relates to method, system, and medium for generating training data for generating a relationship identification model. Sentences are received as input. Each of the sentences is aligned with a fact previously stored to create an alignment. Confidence scores for the alignments are computed and then used, together with the alignments to train a relationship identification model.

Abstract: The invention provides a system and method for playing music whereby music is played without repetition. The system comprising a database having plurality of music files, and a processor configured for randomly selecting a next music file from plurality of pre-stored music files stored on a database, comparing the next music file with a playback history, the playback history created by storing information of a predetermined number of previously played music files, determining whether the next music file is the same as any music file from the previously played music files, and playing the next music if the next music file is not present in the playback history or selecting a new music file to be played if the next music file is the same as any music file from the playback history.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosure provides a computerized framework for automatically generating chatbot responses to produce domain-specific responses that mimic native styles unique to particular domains. The disclosed systems and methods construct domain-specific word-graphs based on account activity from specific domains and generate word-patterns. New words obtained from the patterns in the graph are introduced to transform the regular response. The graph is then pruned using data-driven thresholds in order to avoid spurious transformations, and paragraph vectors are also utilized to assign relevance scores to generated patterns such that only the patterns that are contextually similar to the original response (generic/regular response) are used.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosure provides a computerized framework for automatically generating chatbot responses to produce domain-specific responses that mimic native styles unique to particular domains. The disclosed systems and methods construct domain-specific word-graphs based on account activity from specific domains and generate word-patterns. New words obtained from the patterns in the graph are introduced to transform the regular response. The graph is then pruned using data-driven thresholds in order to avoid spurious transformations, and paragraph vectors are also utilized to assign relevance scores to generated patterns such that only the patterns that are contextually similar to the original response (generic/regular response) are used.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosure provides a computerized framework for automatically generating chatbot responses to produce domain-specific responses that mimic native styles unique to particular domains. The disclosed systems and methods construct domain-specific word-graphs based on account activity from specific domains and generate word-patterns. New words obtained from the patterns in the graph are introduced to transform the regular response. The graph is then pruned using data-driven thresholds in order to avoid spurious transformations, and paragraph vectors are also utilized to assign relevance scores to generated patterns such that only the patterns that are contextually similar to the original response (generic/regular response) are used.

Abstract: The present technology relates to an extended-release solid oral pharmaceutical composition, comprising a cured blend of a melt-extruded first component and a second component, wherein the melt-extruded first component comprises a therapeutically effective amount of an opioid or a pharmaceutically acceptable salt thereof, at least one PEO polymer, and a stabilizing agent; and the second component comprises at least one PEO polymer and an oxidative stabilizing agent. The extended-release pharmaceutical compositions of the present technology provide crush-resistant and abuse-deterrent formulations featuring enhanced heat stability, resistance to drug segregation, and resistance to alcohol-induced dose dumping.

Abstract: A recommendation system provides improved privacy under the local model, in which users store their data locally, and differential privacy is ensured through randomization of ratings under the control of the user before submitting data to the recommender system. The recommender system performs a clustering on the data collected from a plurality of users and returns the results to the users. The users' devices fine-tune the recommendation based on locally stored, non-randomized ratings. The recommendation system provides a user-adjustable degree of privacy while still allowing for generating recommendations with a decent accuracy.