Abstract: An intelligent question and answer (Q&A) system and method for interactively guiding users through a procedure is disclosed. The intelligent Q&A system can dynamically generate process trees (or procedural trees) from the content or procedures presented in a raw document, such as a reference manual. The intelligent Q&A system can include a virtual agent that uses the dynamically generated process trees for interactive conversation with a user. Using the system, the virtual agent can interactively guide users through completing tasks such as updating software or connecting an IoT device to an existing system.

Abstract: In some examples, artificial intelligence based music playlist reordering and song performance assessment may include ascertaining listening data for a plurality of tracks, and generating a plurality of sessions. Tracks that have been played more than a specified play threshold may be identified and retained. Sessions that are greater than a minimum session length threshold and less than a maximum session length threshold may be retained. Input-output track sequences may be generated for the retained sessions. Unique identifiers may be assigned to each of the tracks present across the retained sessions. Each input-output track sequence may be vectorized based on associated unique identifiers. A neural network model may be trained based on the vectorized input-output track sequences. For an input playlist, the trained neural network model may be used to generate a modified playlist. Additionally or alternatively, a user-song interaction graph may be used to generate another modified playlist.

Abstract: An intelligent question and answer (Q&A) system and method for interactively guiding users through a procedure is disclosed. The intelligent Q&A system can dynamically generate process trees (or procedural trees) from the content or procedures presented in a raw document, such as a reference manual. The intelligent Q&A system can include a virtual agent that uses the dynamically generated process trees for interactive conversation with a user. Using the system, the virtual agent can interactively guide users through completing tasks such as updating software or connecting an IoT device to an existing system.

Abstract: In some examples, artificial intelligence based music playlist curation may include ascertaining listening data for a plurality of tracks, and generating a plurality of embeddings that represent the plurality of tracks. A replacement track for an existing track in an input playlist may be generated. Alternatively or additionally, at least one additional track may be added to the input playlist. Alternatively or additionally, based on a seed set of tracks, an output playlist that includes a specified number of tracks that is greater than a number of tracks in the seed set of tracks may be generated. Alternatively or additionally, based on a plurality of specified attributes, the plurality of embeddings may be partitioned into a plurality of clusters corresponding to the plurality of specified attributes.

Abstract: A device may determine a behavioral pattern of an account over a past time period based on data relating to one or more transactions associated with the account. The device may identify one or more quantitative features of the behavioral pattern and one or more spatial features of the behavioral pattern. The device may determine an account type cluster to which the account belongs, based on the one or more quantitative features and the one or more spatial features identified. The device may determine, based on the account type cluster that is determined, a model for processing the behavioral pattern. The device may predict, using the model that is determined, an amount of funds that is likely to remain in the account during a future time period. The device may perform one or more actions based on the amount of funds that is predicted.

Abstract: A system and method for extracting structured information from an implicit table is disclosed. The system and method provide a way to locate and categorize structured information from an implicit table. More specifically, the system and method provide a way of determining which part of an input image document includes a dominant table and which parts of the dominant table make up rows and columns. These details give meaning to the structured information of the implicit table. These details can be used to properly place the structured information from the implicit table into a two-dimensional data structure, such as a data structure in a relational database. In other words, the structured information from a scanned or digital Portable Document Format (PDF) document can be extracted and placed into a useful format, such as a relational database.

Abstract: A device may determine a behavioral pattern of an account over a past time period based on data relating to one or more transactions associated with the account. The device may identify one or more quantitative features of the behavioral pattern and one or more spatial features of the behavioral pattern. The device may determine an account type cluster to which the account belongs, based on the one or more quantitative features and the one or more spatial features identified. The device may determine, based on the account type cluster that is determined, a model for processing the behavioral pattern. The device may predict, using the model that is determined, an amount of funds that is likely to remain in the account during a future time period. The device may perform one or more actions based on the amount of funds that is predicted.

Abstract: A system and method for extracting structured information from image documents is disclosed. An input image document is obtained, and the input image document may be analyzed to determine a skeletal layout of information included in the input image document. A measure of similarity between the determined skeletal layout and each of the document templates may be determined. A document template may be selected as a matched template, based on the determined measure of similarity. Box areas from the input image document may be cropped out, and optical character recognition (OCR) may be performed on the box areas. Obtained recognized text may be automatically processed using directed search to correct errors made by the OCR. Statistical language modeling may be used to classify the input image document into a classification category, and the classified input image document may be processed according to the classification category.

Abstract: In some examples, artificial intelligence based music playlist reordering and song performance assessment may include ascertaining listening data for a plurality of tracks, and generating a plurality of sessions. Tracks that have been played more than a specified play threshold may be identified and retained. Sessions that are greater than a minimum session length threshold and less than a maximum session length threshold may be retained. Input-output track sequences may be generated for the retained sessions. Unique identifiers may be assigned to each of the tracks present across the retained sessions. Each input-output track sequence may be vectorized based on associated unique identifiers. A neural network model may be trained based on the vectorized input-output track sequences. For an input playlist, the trained neural network model may be used to generate a modified playlist. Additionally or alternatively, a user-song interaction graph may be used to generate another modified playlist.

Abstract: In some examples, artificial intelligence based music playlist curation may include ascertaining listening data for a plurality of tracks, and generating a plurality of embeddings that represent the plurality of tracks. A replacement track for an existing track in an input playlist may be generated. Alternatively or additionally, at least one additional track may be added to the input playlist. Alternatively or additionally, based on a seed set of tracks, an output playlist that includes a specified number of tracks that is greater than a number of tracks in the seed set of tracks may be generated. Alternatively or additionally, based on a plurality of specified attributes, the plurality of embeddings may be partitioned into a plurality of clusters corresponding to the plurality of specified attributes.

Abstract: A system and method for extracting structured information from an implicit table is disclosed. The system and method provide a way to locate and categorize structured information from an implicit table. More specifically, the system and method provide a way of determining which part of an input image document includes a dominant table and which parts of the dominant table make up rows and columns. These details give meaning to the structured information of the implicit table. These details can be used to properly place the structured information from the implicit table into a two-dimensional data structure, such as a data structure in a relational database. In other words, the structured information from a scanned or digital Portable Document Format (PDF) document can be extracted and placed into a useful format, such as a relational database.

Abstract: A system and method for extracting structured information from image documents is disclosed. An input image document is obtained, and the input image document may be analyzed to determine a skeletal layout of information included in the input image document. A measure of similarity between the determined skeletal layout and each of the document templates may be determined. A document template may be selected as a matched template, based on the determined measure of similarity. Box areas from the input image document may be cropped out, and optical character recognition (OCR) may be performed on the box areas. Obtained recognized text may be automatically processed using directed search to correct errors made by the OCR. Statistical language modeling may be used to classify the input image document into a classification category, and the classified input image document may be processed according to the classification category.