Abstract: Architecture that enables an optional display of a longer version of each subsnippet in response to user interactions such as clicking, hovering, or other suitable form of interaction. More specifically, options are provided to display additional text from a search result at the point where a subsnippet (a subsegment in a snippet that is delimited by ellipses) ends. Selecting suitable boundaries for both initial subsnippets and expanded subsnippets enables relevant information to be presented and increased readability.

Abstract: Architecture that enables an optional display of a longer version of each subsnippet in response to user interactions such as clicking, hovering, or other suitable form of interaction. More specifically, options are provided to display additional text from a search result at the point where a subsnippet (a subsegment in a snippet that is delimited by ellipses) ends. Selecting suitable boundaries for both initial subsnippets and expanded subsnippets enables relevant information to be presented and increased readability.

Abstract: Architecture that enables an optional display of a longer version of each subsnippet in response to user interactions such as clicking, hovering, or other suitable form of interaction. More specifically, options are provided to display additional text from a search result at the point where a subsnippet (a subsegment in a snippet that is delimited by ellipses) ends. Selecting suitable boundaries for both initial subsnippets and expanded subsnippets enables relevant information to be presented and increased readability.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that facilitate generation of snippets. In embodiments, text features within a keyword-sentence window are identified. The text features are utilized to determine break features that indicate favorability of breaking at a particular location of the keyword-sentence window. The break features are used to recognize features of partial snippets such that a snippet score to indicate the strength of the partial snippet can be calculated. Snippet scores associated with partial snippets are compared to select an optimal snippet, that is, the snippet having the highest snippet score.

Abstract: Architecture that enables an optional display of a longer version of each subsnippet in response to user interactions such as clicking, hovering, or other suitable form of interaction. More specifically, options are provided to display additional text from a search result at the point where a subsnippet (a subsegment in a snippet that is delimited by ellipses) ends. Selecting suitable boundaries for both initial subsnippets and expanded subsnippets enables relevant information to be presented and increased readability.

Abstract: Answers to search queries are identified and highlighted in search result snippets for documents containing the answers. When a user submits a search query to a search engine, the search engine may query a search index to identify a set of documents as relevant search results for the search query. Additionally, an answer data store may be queried to determine if there is a short answer to the search query. If an answer is found, the answer may be used when generating search result snippets. As such, the search result snippets for documents containing the answer may include the answer. The answer may also be highlighted in the search result snippets.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that facilitate generation of snippets. In embodiments, text features within a keyword-sentence window are identified. The text features are utilized to determine break features that indicate favorability of breaking at a particular location of the keyword-sentence window. The break features are used to recognize features of partial snippets such that a snippet score to indicate the strength of the partial snippet can be calculated. Snippet scores associated with partial snippets are compared to select an optimal snippet, that is, the snippet having the highest snippet score.