Abstract: A semantic dependency relationship and/or a syntactic dependency relationship is determined between at least one word of a sentence and any of a set of surrounding words in the sentence. The determined semantic dependency relationship and/or the determined syntactic dependency relationship are provided as input to a machine learning model. One or more outputs of the machine learning model are obtained, the one or more outputs indicating, for a set of candidate edits for the at least one word of the sentence, a grammatical accuracy of each candidate edit of the set of candidate edits in view of the syntactic dependency relationship and/or the syntactic dependency relationship. A candidate edit is selected from the set of candidate edits based on the indicated grammatical accuracy of each candidate edit from the set of candidate edits.

Abstract: A set of candidate edits for a word of a sentence is obtained. Each of the set of candidate edits includes an edit word. Two or more surrounding words that each have a dependency relationship with the edit word are identified in the sentence. At least one of the two or more surrounding words is identified irrespective of their proximity to the edit word. The dependency relationship between the edit word and each of the surrounding words and the set of candidate edits is provided as input to a grammar accuracy prediction model. One or more outputs of the grammar accuracy prediction model are obtained. The one or more outputs indicate grammatical accuracy of each candidate edit from the set in the sentence in view of the dependency relationship with surrounding words. The candidate edit with highest accuracy is selected from the candidate edit set for the sentence.

Abstract: A system and method are disclosure for obtaining a set of candidate edits for a word of a sentence, wherein each of the set of candidate edits includes an edit word, identifying, in the sentence, a two or more surrounding words that each have a dependency relationship with the edit word, wherein at least one of the two or more surrounding words is identified irrespective of their proximity to the edit word, providing, as input to a grammar accuracy prediction model, the dependency relationship between the edit word and each of the surrounding words and the set of candidate edits, obtaining one or more outputs from the grammar accuracy prediction model, wherein the one or more outputs indicate grammatical accuracy of each candidate edit from the set in the sentence in view of the dependency relationship with surrounding words, and selecting the candidate edit with highest accuracy from the candidate edit set for the sentence.

Abstract: Systems and methods are described to notify an author that suggested content is available. An author-assistance tool is instantiated with a document processor to perform research to suggest content for a document being edited at the document processor. A user interaction relating to a document is received via the document processor, and the author-assistance tool generates suggested content for the document when the author has intent for content suggestion or the document has a document type that is on a list of document types for which a content suggestion should be made. The author-assistance tool then determines that the suggested content meets a pre-determined quality threshold, and generates, via the user interface of the document processor, a notification to the author that the suggested content is available.

Abstract: Systems and methods are described to notify an author that suggested content is available. An author-assistance tool is instantiated with a document processor to perform research to suggest content for a document being edited at the document processor. A user interaction relating to a document is received via the document processor, and the author-assistance tool generates suggested content for the document when the author has intent for content suggestion or the document has a document type that is on a list of document types for which a content suggestion should be made. The author-assistance tool then determines that the suggested content meets a pre-determined quality threshold, and generates, via the user interface of the document processor, a notification to the author that the suggested content is available.

Abstract: A server may receive an article that is retrieved from a server; determine whether the article satisfies first criteria based on content of the first article; annotate the article with a first article type when the article satisfies the first criteria; determine whether the article satisfies second criteria based on information associated with the article; annotate the article with a second article type when the article satisfies the second criteria; and store the article in association with a topic and at least one of the first article type or the second article type. The different server may be associated with a news website.

Abstract: A server may receive an article that is retrieved from a server; determine whether the article satisfies first criteria based on content of the first article; annotate the article with a first article type when the article satisfies the first criteria; determine whether the article satisfies second criteria based on information associated with the article; annotate the article with a second article type when the article satisfies the second criteria; and store the article in association with a topic and at least one of the first article type or the second article type. The different server may be associated with a news website.