Examples associated with reading difficulty level based resource recommendation are disclosed. One example may involve instructions stored on a computer readable medium. The instructions, when executed on a computer, may cause the computer to obtain a set of candidate resources related to a source document. The candidate resources may be obtained based on content extracted from the source document. The instructions may also cause the computer to identify reading difficulty levels of members of the set of candidate resources. The instructions may also cause the computer to recommend a selected candidate resource to a user. The selected candidate resource may be recommended based on subject matter similarity between the selected candidate resource and the source document. The selected candidate resource may also be recommended based on reading difficulty level similarity between the selected candidate resource and the source document.

In one embodiment, a method includes receiving at a head-mounted device a speech input from a user and a visual input captured by cameras of the head-mounted device, wherein the visual input comprises subjects and attributes associated with the subjects, and wherein the speech input comprises a co-reference to one or more of the subjects, resolving entities corresponding to the subjects associated with the co-reference based on the attributes and the co-reference, and presenting a communication content responsive to the speech input and the visual input at the head-mounted device, wherein the communication content comprises information associated with executing results of tasks corresponding to the resolved entities.

Provided is a method including obtaining a corpus and an associated set of domain indicators. The method includes learning a set of vectors in an embedding space based on n-grams of the corpus. The method includes updating ontology graphs comprising a set of vertices and edges associating the set of vertices with each other. The method also includes determining a vector cluster using hierarchical clustering based on distances of the set of vectors with respect to each other in the embedding space and determining a hierarchy of the ontology graphs based on a set of domain indicators of a respective set of vertices corresponding to vectors of the vector cluster. The method also includes updating an index based on the ontology graphs.

In one embodiment, a method includes using a first computing device to access digital data representing a contract set of contract documents and digital contract metadata, weight differences between data field values, use the weighted differences to calculate distance scores, use the distance scores and a temporal ordering of the contract documents to generate and cause displaying a time curve graph comprising a geometric shape that comprises time curves and a spatial proximity at a second computing device, a measure of each time curve calculated to indicate an amount of time between a creation of two contract documents, the spatial proximity calculated to indicate a metric of similarity between the contract documents, in response to determining that the geometric shape indicates a lack of convergence over a threshold amount of time, generate and cause displaying a notification indicating that the contract set is at risk at the second computing device.

In one embodiment, a method includes receiving an initial input in a first modality from a first user from a client system associated with the first user, determining one or more intents corresponding to the initial input by an intent-understanding module, generating one or more candidate continuation-inputs based on the one or more intents, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, and wherein the candidate modalities are different from the first modality, and sending instructions for presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs to the client system.

A method for recording a new object in a catalogue of objects is disclosed. The method enables defining the value of an attribute and comprises: selecting an identifier of the new object; detecting, on a graphic element, the presence of a label representing the attribute; and determining the position of the label with respect to the graphic element, the value of the attribute computed based on said position. The detection includes a ranking of objects already recorded in the catalogue, comprising: determining, for each object already recorded in the catalogue, an index of similarity between a set comprising said attribute value and a set of values of corresponding attributes of said object; ranking the objects already recorded in the catalogue as a function of said indices of similarity; and displaying or updating a list of the objects already recorded in the catalogue as a function of said indices of similarity.

The present teaching relates to methods, systems, and programming for information retrieval. A search result associated with a search query is obtained and provided to a user. Upon receiving a filtering request from the user, the search result is filtered based on the filtering request to generate an updated search result. The updated search result is provided to the user in response to the filtering request.

A microservice running in a cloud computing environment is operable to perform a coordinate-based search responsive to a request from a requester such as a viewer that serves a web application in a browser on a user device. The request contains a set of coordinates of a user-defined area which highlights information of interest that the user wants to redact from a document displayed by the viewer on the user device. The document is a rendition of an internal representation generated from an original source document. The internal representation has a coordinate system that maps the location of text data in the original source document. The microservice utilizes the coordinate system to search every instance of the information of interest in the text data, generates corresponding bounding boxes, and sends the coordinates of the bounding boxes to the viewer which creates the bounding boxes to highlight/block all the instances.

The disclosed enhanced document creation and parsing systems deal with enhanced documents that allow for the presentation of document content in a preferred visual manner, while ensuring that the document content can be captured accurately by an automated parser with nothing being discarded or misrepresented. The enhanced document creation system may create an enhanced document by encoding document content in accordance with a defined schema, optionally encrypting the resulting structured data into an encrypted byte string, and embedding the encrypted byte string as non-visible metadata in a rendered document. The resulting enhanced document can be completely and accurately parsed by an enhanced document parsing system that is capable of extracting, decrypting and decoding the embedded document metadata.

In one embodiment, a method includes receiving a user input from a first user at the first client system, determining that the user input is a sharing request to share content, determining multiple second users the sharing request is directed to, determining, for each second user, modalities associated with the respective second user based on the content, a user profile associated with the respective second user, and modalities supported by a second client system the respective second user is currently engaged with, the respective second user being associated with two or more second client systems, and sending, to one or more second client systems currently associated with the second users, instructions for accessing the content based on the determined modalities for each second user.