A document analysis device that includes a memory operable to store a machine learning model configured to receive a sentence as an input and to output a classification identifier that is associated with a sentence type for the received sentence. The device further includes an artificial intelligence (AI) processing engine configured to receive a document comprising text, to sentences within the document, and to classify the sentences using the machine learning model. The AI processing engine is further configured to identify tagging rules for the document and to annotate one or more sentences from the document with a sentence type that matches a sentence type that is identified by the tagging rules for the document.

A document analysis device that includes a memory operable to store a machine learning model configured to receive a sentence as an input and to output a classification identifier that is associated with a sentence type for the received sentence. The device further includes an artificial intelligence (AI) processing engine configured to receive a document comprising text, to sentences within the document, and to classify the sentences using the machine learning model. The AI processing engine is further configured to identify tagging rules for the document and to annotate one or more sentences from the document with a sentence type that matches a sentence type that is identified by the tagging rules for the document.

Described are methods, systems and computer readable media for dynamic updating of query result displays.

Described are methods, systems and computer readable media for dynamic updating of query result displays.

Described herein are systems and methods for formatting text for generating a print document based on a web document. For example, in some examples, a subset of characters of a first element of a web document is wrapped in a second element. Further, the onscreen position of the subset is determined based on the wrapping. In addition, the position on a print document for the subset is determined based on the determined onscreen position.

Described are methods, systems and computer readable media for performance logging of complex query operations.

A corpus generation device and method, the device comprising: a segmentation module, connected to at least one monolingual parallel corpus for segmenting a sentence into words and processing the segmented words by a knowledge-driven approach; a classification module, for classifying sentences having different tag sequences but the same meaning into the same sentence cluster; a mapping module, for determining the categories of sentence structures of all the sentences in the sentence cluster, recording and storing a mapping mode for transforming tags between sentence structures when different categories of sentence structures in the same sentence cluster are transformed; a sentence structure generation module, for generating sentence structures according to a first mapping mode between a first category of sentence structures in one of the sentence clusters and other categories of sentence structures in the same sentence cluster; and a corpus generation module, for nesting a word corresponding to a sequence tag to generate a new monolingual parallel corpus.

Described are methods, systems and computer readable media for data source refreshing.

Methods, systems, and apparatuses are described herein for managing an optimizing advertising content placement, rendering third party advertising tags, and tracking analytics associated with third party advertising content. The tag management system is a publisher-side platform for native and recommended content that enables publishers to manage their relationships with native advertising partners and optimize their placement of native ads. The global ad tag may detect a location within a HyperText Markup Language (HTML) document, wherein the location is associated with placement of advertising content. A script associated with the advertising content may then be loaded at that location on the HTML document. Analytics associated with the advertising content may then be tracked, and the analytics associated with the advertising content may be reported to a server running the tag management system.

A computer-implemented method, system and computer program product for detecting truncation and overlap defects. Location and size information for the elements of the webpage are obtained. An intersection over union (IoU) calculation is performed for two webpage elements using the obtained location and size information for at least one of these webpage elements. Furthermore, the location relationship between these two webpage elements is determined. A table, which defines truncation defect and overlap defect scenarios, is then reviewed to determine if there are any truncation or overlap defects in these two webpage elements using the IoU calculation, the location relationship and the text condition, which indicates whether text is included in one of the two webpage elements. If any truncation or overlap defects are found in the webpage, then such truncation and/or overlap defects are marked on a screen capture of the webpage.