One embodiment comprises a non-transitory computer readable medium comprising computer-executable instructions executable to access a conversation-enabled document and expose the conversation-enabled document on a conversation channel as a conversation into the conversation-enabled document. The conversation-enabled document can comprise a conversation component for controlling a conversation interface into the conversation-enabled document, the conversation component specifying conversation steps, routing between conversation steps and a document variable to accept a conversation participant response. The computer-executable instructions can be executable to set a document variable value in the conversation-enabled document based on the participant response received via the conversation interface; and render the conversation-enabled document to a response channel using the document variable and the page template.

One embodiment comprises a non-transitory computer readable medium comprising computer-executable instructions executable to access a conversation-enabled document and expose the conversation-enabled document on a conversation channel as a conversation into the conversation-enabled document. The conversation-enabled document can comprise a conversation component for controlling a conversation interface into the conversation-enabled document, the conversation component specifying conversation steps, routing between conversation steps and a document variable to accept a conversation participant response. The computer-executable instructions can be executable to set a document variable value in the conversation-enabled document based on the participant response received via the conversation interface; and render the conversation-enabled document to a response channel using the document variable and the page template.

Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.

Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.

A case management system is configured to provide one or more case generation and management functions. As configured, the case management system enables a user to define a workflow, the workflow including one or more states, one or more operations which may be performed at the one or more states, and one or more transitions corresponding to the operations and defining a sequence of the states; to generate and configure a state machine; to receive a workflow identifier to assign to the state machine; and through a command received from a client device, to open and manage a case based on the configuration of the state machine.

A case management system is configured to provide one or more case generation and management functions. As configured, the case management system enables a user to define a workflow, the workflow including one or more states, one or more operations which may be performed at the one or more states, and one or more transitions corresponding to the operations and defining a sequence of the states; to generate and configure a state machine; to receive a workflow identifier to assign to the state machine; and through a command received from a client device, to open and manage a case based on the configuration of the state machine.

Examples provide a self-supervised language model for document-to-document similarity scoring and ranking long documents of arbitrary length in an absence of similarity labels. In a first stage of a two-staged hierarchical scoring, a sentence similarity matrix is created for each paragraph in the candidate document. A sentence similarity score is calculated based on the sentence similarity matrix. In the second stage, a paragraph similarity matrix is constructed based on aggregated sentence similarity scores associated with the first candidate document. A total similarity score for the document is calculated based on the normalize the paragraph similarity matrix for each candidate document in a collection of documents. The model is trained using a masked language model and intra-and-inter document sampling. The documents are ranked based on the similarity scores for the documents.

Provided are systems and methods for classifying and tagging records in a record management system using information extracted and analyzed from specific areas or regions of records. A specific area or region of the record may be scanned, and the content disposed therein processed against a plurality of classification templates. Based on proximity to the classification templates, the record may be assigned one or more tags corresponding to the classification templates.

An integrated digital-analog archiving system can automatically initiate a migration process to move electronic documents to a media library. For each electronic document, the system may retrieve the electronic document from a digital data storage medium, extract metadata from the electronic document, determine size, orientation, and format of the electronic document, generate indicators for indicating the start and end of the electronic document to be stored on an analog data storage medium, generate an analog document identifier for identifying the electronic document on the analog data storage medium, generate a scaled image of the electronic document based on the size, orientation, and format of the electronic document, generate a text string based at least in part on the extracted metadata, and render the indicators, the analog document identifier, the scaled image of the electronic document, and the text string on the analog data storage medium.

An integrated digital-analog archiving system can automatically initiate a migration process to move electronic documents to a media library. For each electronic document, the system may retrieve the electronic document from a digital data storage medium, extract metadata from the electronic document, determine size, orientation, and format of the electronic document, generate indicators for indicating the start and end of the electronic document to be stored on an analog data storage medium, generate an analog document identifier for identifying the electronic document on the analog data storage medium, generate a scaled image of the electronic document based on the size, orientation, and format of the electronic document, generate a text string based at least in part on the extracted metadata, and render the indicators, the analog document identifier, the scaled image of the electronic document, and the text string on the analog data storage medium.