Techniques for dynamically developing a contextual set of prompts based on relevant aspects extracted from s set of training data. One technique includes obtaining training data comprising text examples and associated labels, extracting aspects from the training data, generating prompting templates based on the training data and the extracted aspects, concatenating each of the text examples with the respective generated prompting template to create prompting functions, training a machine learning language model on the prompting functions to predict a solution for a task, where the training is formulated as a masked language modeling problem with blanks of the prompting templates being set as text labels and expected output for the task being set as specified solution labels, and the training learns or updates model parameters of the machine learning language model for performing the task. The machine learning language model is provided with the learned or updated model parameters.

Techniques for dynamically developing a contextual set of prompts based on relevant aspects extracted from s set of training data. One technique includes obtaining training data comprising text examples and associated labels, extracting aspects from the training data, generating prompting templates based on the training data and the extracted aspects, concatenating each of the text examples with the respective generated prompting template to create prompting functions, training a machine learning language model on the prompting functions to predict a solution for a task, where the training is formulated as a masked language modeling problem with blanks of the prompting templates being set as text labels and expected output for the task being set as specified solution labels, and the training learns or updates model parameters of the machine learning language model for performing the task. The machine learning language model is provided with the learned or updated model parameters.

A digital content clipping system receives an indication that a first web page has been accessed by a first user, and searches a repository of digital content clips associated with the first web page. In accordance with a determination that the repository does not include any user-generated digital content clips associated with the first web page, the system offers one or more first clipping options based on predefined clip templates, receives selection, by the first user, of one of the first clipping options, extracts a digital content clip of the first web page in accordance with the selected one of the first clipping options, and stores the digital content clip of the first web page in a first clip collection associated with the first web page.

Contracts are a fundamental tool for coordinating economic activity and need to be managed throughout the lifecycle of contracts. The existing methods are incomplete, expensive, time-consuming, and error-prone. A method and system for management of lifecycle of contracts have been provided. The system leverages a combination of artificial intelligence (AI) techniques appropriate for different micro services in contract lifecycle management. The deep learning and natural language processing (NLP) techniques help in understanding of clauses of the contract, risk levels involved in the contract. The system is configured to automatically generate contracts for a customer based on the other criteria of the customer. The system also identifies alternate options to risky clauses and mandatory clauses to be included. The system is also configured to manage the workflows based on context of contract to seek exception approvals from appropriate stakeholders during contract creation and alert appropriate stakeholders on delivery governance issues.

Contracts are a fundamental tool for coordinating economic activity and need to be managed throughout the lifecycle of contracts. The existing methods are incomplete, expensive, time-consuming, and error-prone. A method and system for management of lifecycle of contracts have been provided. The system leverages a combination of artificial intelligence (AI) techniques appropriate for different micro services in contract lifecycle management. The deep learning and natural language processing (NLP) techniques help in understanding of clauses of the contract, risk levels involved in the contract. The system is configured to automatically generate contracts for a customer based on the other criteria of the customer. The system also identifies alternate options to risky clauses and mandatory clauses to be included. The system is also configured to manage the workflows based on context of contract to seek exception approvals from appropriate stakeholders during contract creation and alert appropriate stakeholders on delivery governance issues.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining summary content for resources in a domain. In one aspect, a method includes accessing a first resource belonging to a particular domain, selecting an anchor in the first resource linking to a second resource belonging to the particular domain, identifying particular text content in the first resource that is subordinate to the anchor that the second resource includes the particular text content that is subordinate to the anchor, based on determining that the second resource includes the particular text content that is subordinate to the anchor, generating a domain template for the particular domain, the domain template specifying a location of the particular text content in the second resource, and determining, for each respective resource belonging to the particular domain having a structure matching the domain template, respective text content for the respective resource.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining summary content for resources in a domain. In one aspect, a method includes accessing a first resource belonging to a particular domain, selecting an anchor in the first resource linking to a second resource belonging to the particular domain, identifying particular text content in the first resource that is subordinate to the anchor that the second resource includes the particular text content that is subordinate to the anchor, based on determining that the second resource includes the particular text content that is subordinate to the anchor, generating a domain template for the particular domain, the domain template specifying a location of the particular text content in the second resource, and determining, for each respective resource belonging to the particular domain having a structure matching the domain template, respective text content for the respective resource.

Systems for generating a USPTO office action response document based on an input USPTO Office Action document. A method implementation for constructing the USPTO office action response traverses a ruletree that has been dynamically formed from user answers to successive questions based on characteristics of the USPTO Office Action document. The ruletree comprises a first set of data items that pertains to an HCI and the ruletree further comprises a second set of data items that pertain to the target USPTO office action response document. Correspondence between the set of user answers to questions and passages in the USPTO office action response document are maintained in the ruletree. The ruletree expands and contracts during user interaction. To generate the USPTO office action response document, the ruletree is traversed in a sorted order, where traversal of a node generates a passage or passages in the generated USPTO office action response document.

Systems for generating a USPTO office action response document based on an input USPTO Office Action document. A method implementation for constructing the USPTO office action response traverses a ruletree that has been dynamically formed from user answers to successive questions based on characteristics of the USPTO Office Action document. The ruletree comprises a first set of data items that pertains to an HCI and the ruletree further comprises a second set of data items that pertain to the target USPTO office action response document. Correspondence between the set of user answers to questions and passages in the USPTO office action response document are maintained in the ruletree. The ruletree expands and contracts during user interaction. To generate the USPTO office action response document, the ruletree is traversed in a sorted order, where traversal of a node generates a passage or passages in the generated USPTO office action response document.

Methods and supporting systems for generating customized presentations include obtaining a presentation template comprising a specific slide that permits conditional elements (and in some cases can therefore be customizable), generating a conditional slide by assigning a slide condition to the specific slide, and generating the customized presentation that includes the conditional slide.