Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identify: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identity: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Various embodiments of the present disclosure relate to systems and methods for delivering various types of content (such as news articles) to users. Among other things, embodiments of the present disclosure help provide users with concise articles containing the best content from a variety of sources, and present such content in a task-oriented manner that is finite and incentivizes the user to review the content.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identify: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identity: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identify: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Various embodiments of the present disclosure relate to systems and methods for delivering various types of content (such as news articles) to users. Among other things, embodiments of the present disclosure help provide users with concise articles containing the best content from a variety of sources, and present such content in a task-oriented manner that is finite and incentivizes the user to review the content.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identify: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identify: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.