Abstract: A system is provided for referral object processing for textual annotations. The system comprises a memory storing machine executable code and one or more processors coupled to the memory and configurable to execute the machine executable code to cause the one or more processors to parse a document to identify a reference identifier to an external object, the external object associated with information not contained in the document, retrieve the external object using the reference identifier, extract the information associated with the external object based on at least one data pattern detected in the external object, convert the extracted information into textual annotations associated with the reference identifier in the document, and enter the textual annotations to a corpus of content for the document so that the extracted information is associated with the reference in the document for the system.

Abstract: An input document data is received. The document data is analyzed to automatically identify one or more response fields and one or more corresponding text labels laid out in the input document data. An application configured to provide to users the one or more response fields and the one or more corresponding text labels and receive inputs to the response fields from the users that are recorded in a persistent computer storage is automatically generated.

Abstract: Disclosed are methods of displaying and editing a document having editable text that allows for a wide variety of word verification features beyond merely correcting errors in spelling or grammar and allows for such detailed editing in a simple and user-friendly manner.

Abstract: A multimedia management system includes a multimedia device and a backend server. The multimedia device includes a memory programmed with a mobile application, a processor module, a wireless communication module configured to communicate over a wireless communication link, and a first multimedia device configured to capture a first video or image and a second video or image and store it as first multimedia content and second multimedia content. The mobile application is configured to transmit the first and second multimedia content over the wireless communication link via the wireless communication module. The backend server is communicably coupled to the multimedia device via the wireless communications link and configured to execute a persistent internet accessible request protocol for receiving, updating, and storing transmitted videos. The multimedia management system is useful for hosting and remotely managing multimedia content.

Abstract: In an approach for providing an enhancement to message check capabilities through an awareness of the message content, a processor processes a message that includes a non-textual part and a textual part. A processor identifies a content context of the non-textual part of the message. A processor identifies an intent and entity of the textual part of the message. A processor determines a potential mismatch between the content context of the non-textual part and the intent and entity of the textual part. A processor provides a suggested replacement for the potential mismatch.

Abstract: A language model is fine-tuned by extracting terminology terms from a text document. The method comprises identifying a text snippet, identifying candidate multi-word expressions using part of speech tags, and determining a specificity score value for each of the candidate multi-word expressions. Moreover, the method comprises determining a topic similarity score value for each of the candidate multi-word expressions, selecting remaining expressions from the candidate multi-word expressions using a function of a specificity value and a topic similarity value of each of the candidate multi-word expressions, adding a noun comprised in the text snippet to the remaining expressions depending on a correlation function, labeling the remaining multi-word expressions, and fine-tuning an existing pre-trained transformer-based language model using as training data the identified text snippet marked with the labeled remaining expressions.

Abstract: Text can be encoded into DNA sequences. Each word from a document or other text sample can be encoded in a DNA sequence or DNA sequences and the DNA sequences can be stored for later retrieval. The DNA sequences can be stored digitally, or actual DNA molecules containing the sequences can be synthesized and stored. In one example, the encoding technique makes use of a polynomial function to transform words based on the Latin alphabet into k-mer DNA sequences of length k. Because the whole bits required for the DNA sequences are smaller than the actual strings of words, storing documents using DNA sequences may compress the documents relative to storing the same documents using other techniques. In at least one example, the mapping between words and DNA sequences is one-to-one and the collision ratio for the encoding is low.

Abstract: Systems, methods performed by data processing apparatus and computer storage media encoded with computer programs for receiving feedback from a client device at which a presentation page of content items is displayed, the received feedback relating to an affirmative act performed by the user, determining, based at least in part on the received feedback, whether the user is likely to perform a predetermined action relative to one or more of the content items, based on a result of the determining, selectively identifying one or more replacement content items and transmitting the one or more identified replacement content items to the client device for display in the presentation page in place of one or more of the plurality of content items.

Abstract: Techniques are described related to prior context retrieval with an automated assistant. In various implementations, instance(s) of free-form natural language input received from a user during a human-to-computer dialog session between the user and an automated assistant may be used to generate a first dialog context. The first dialog context may include intent(s) and slot value(s) associated with the intent(s). Similar operations may be performed with additional inputs to generate a second dialog context that is semantically distinct from the first dialog context. When a command is received from the user to transition the automated assistant back to the first dialog context, natural language output may be generated that conveys at least one or more of the intents of the first dialog context and one or more of the slot values of the first dialog context. This natural language output may be presented to the user.

Abstract: This specification discloses an information presentation method and device. The method includes: determining at least one display object on a display page; obtaining information related to the at least one display object; and presenting the information related to the display object. At least part of a presentation area of the information overlaps with a display area of the related display object.

Abstract: A method of managing consent using a computing device, the consent is given by a subject to one or more events in one or more studies, wherein the consent and the plurality of activities are changeable, the method including: authoring one or more first data forms describing the one or more events and one or more selections responsive to the one or more events; authoring, for each of the plurality of subjects, one or more second data forms including description of a plurality of preferences; forming, for a first of the plurality of subjects, an Informed Consent Forms document by combining the one or more first data forms of a first of the one or more studies and one or more second data forms for the first subject; and generating a manifest indicating the one or more events in the first study to which the first subject has granted consent.

Abstract: Systems and methods are disclosed for synchronizing a document markup modification across a plurality of devices. One method comprises subscribing to one or more events occurring in a first document markup application, the first document markup application being a first thin client application, and receiving a notification indicating a modification to a document markup in the first document markup application. A cross-compatible markup object associated with the modified document markup may be extracted and transmitted to a second document markup application, the second document markup application being a second thin client application.

Abstract: A content generation computing system includes content generating application logic. The content generating application logic runs a content generation application to generate content. Content ingestion and transformation logic allows a user to identify spreadsheet content from a source spreadsheet document for ingestion into a different document that is being generated. The system automatically restructures the ingested spreadsheet content based upon the content generation application into which it is being ingested, and maintains a link from the ingested content to the source spreadsheet document and automatically refreshes the ingested content when the content in the source document, that is ingested, changes.

Abstract: As described herein, a system for expanding contractions in electronically stored text includes expanding contractions having only on expanded form. For remaining contractions, a grammar check is performed for all possible expanded forms to determine if an expanded form can be selected based on context and grammar rules. If an expanded form is not evident from the first two steps, all possible expanded forms of the remaining contractions are converted to a vector representation along with the original text. A Word Movers Distance (WMD) for each possible expansion is calculated using the vectors for each possible expansion and the original text. An expanded form is chosen without human intervention based on the grammar score alone or the WMD and the grammar score.

Abstract: A method, apparatus and device are for extracting information. The method includes: acquiring an annotated corpus, which includes a plurality of sample sentences and annotated information sets corresponding to the sample sentences, constructing an input sequence and an output sequence based on the sample sentences and the annotated information sets corresponding to the sample sentences, obtaining an information extraction model generating the output sequence from the input sequence by carrying out training with a deep learning method, and inputting a to-be-processed sentence into the information extraction model to extract a knowledge information set included in the to-be-processed sentence.

Abstract: A graphical user interface for presenting media collections may provide multiple levels of view of different collections of media items. Individual levels of view may include different layouts for the media items.

Abstract: Systems and methods for detecting design redundancies and conflicts of a product or process are disclosed in the present application. A system for detecting redundancies and conflicts may parse a plurality of descriptions of functions to identify objects, verbs, and modifiers corresponding to descriptions of the plurality of descriptions. The system may determine lexical relationships between the identified objects, verbs, and modifiers based on lexical relationships. The system may determine dependencies of hierarchal relationships within the function model, and detect redundancies and conflicts based on the lexical relationships and the hierarchal relationships.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that facilitate identifying entity-attribute relationships in text corpora. Methods include determining whether an attribute in a candidate entity-attribute pair is an actual attribute of the entity in the entity-attribute candidate pair. This includes generating embeddings for words in the set of sentences that include the entity and the attribute and generating, using known entity-attribute pairs. This also includes generating an attribute distributional embedding for the entity based on other attributes associated with the entity from the known entity-attribute pairs, and generating an attribute distributional embedding for the attribute based on known attributes associated with known entities of the attribute in the known entity-attribute pairs.

Abstract: A system for managing tags on a web page is disclosed. Tags are managed by implementing primary and secondary tags. The secondary tags are aggregated to provide network and tag management efficiency.

Abstract: Techniques are described relating to identifying a country (or other item) associated with an individual based on the individual's name. These techniques rely on machine learning and artificial intelligence adaptions, according to various embodiments, and allow for better identification of country than some alternative techniques. Specifically, unsupervised machine learning techniques (e.g. using a word2vec based algorithm) allow for the handling of noisy data, which can be a significant difficulty in attempting to associate a person's name to a particular country, where it may be quite difficult or even impossible to train a supervised machine learning model that can effectively make decisions on how to associate an unknown person to a particular country. Accordingly, this disclosure includes techniques related to unsupervised machine learning that are particularly helpful for solving this problem, including using a training data set that is prepared by adding country codes (or another identifier) to names.