Generating snippets based on content features

A method for facilitating generation of snippets provided in association with search results, the method comprising:

• identifying one or more text features for a plurality of spans within a keyword-sentence window, wherein at least one text feature comprises a named entity feature that is recognized when a span of two or more tokens has sequential parts-of-speech identifiers that match a predetermined sequence of part-of-speech identifiers;
• determining one or more breaking indicators associated with one or more of the plurality of spans using the one or more text features, each of the one or more breaking indicators providing an indication of an extent comprising a numerical value for which a snippet boundary is favorable relative to a particular position within the keyword-sentence window;
• generating a plurality of partial snippets comprising portions of the keyword-sentence window;
• for each partial snippet, identifying a snippet feature that indicates a relative strength of truncating the keyword-sentence window in accordance with the corresponding partial snippet, wherein the snippet feature comprises a sum of breaking indicators associated with the partial snippet that each indicate an extent to which it is favorable to break the partial snippet at the corresponding break;
• and
• using the snippet features to select a partial snippet from the plurality of partial snippets for display in association with a search result.

One or more computer media devices having computer-executable instructions embodied thereon, that when executed, cause a computing device to perform a method for facilitating generation of snippets provided in association with search results, the method comprising:

• identifying one or more text features associated with spans within a keyword-sentence window including at least one keyword that matches at least one query term, at least a portion of the one or more text features being identified based on a part-of-speech identifier associated with each of two or more consecutive tokens of the span;
• determining one or more break features associated with the spans using the one or more text features, the one or more break features providing an indication of whether a snippet boundary is favorable relative to a particular position within the keyword-sentence window;
• generating a plurality of partial snippets comprising portions of the keyword-sentence window;
• for each partial snippet, identifying a snippet feature that indicates a relative strength of truncating the keyword-sentence window in accordance with the partial snippet, wherein the snippet feature comprises a sum of breaking indicators associated with the partial snippet that each indicate an extent to which it is favorable to break the partial snippet at the corresponding break;
• determining a score for each of the plurality of partial snippets that indicates favorability of truncating the keyword-sentence window at snippet boundaries as indicated in the partial snippet, the score being based on the one or more snippet features;
• and
• based on the scores, selecting a partial snippet from the plurality of partial snippets to display in association with a search result, the selected partial snippet designated as having optimal snippet boundaries.