Briefly, embodiments disclosed herein may relate to formulating synthetic questions, such as in response to a search query, for example. Candidate synthetic questions may be presented to a user who may initiate a search at least in part by selecting one or more candidate synthetic questions, for example, in an embodiment.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method, comprising: generating a plurality of synthetic questions based at least in part on a search query; and providing for user selection of one or more synthetic questions from the plurality of generated synthetic questions. 2. The method of claim 1, further comprising: obtaining the user selection from the plurality of synthetic questions from the user; and submitting the user selection to one or more community question answering sites. 3. The method of claim 1, wherein said generating the plurality of synthetic questions comprises: generating a set of candidate synthetic questions; and ranking the set of candidate synthetic questions. 4. The method of claim 3, wherein the ranking the set of candidate synthetic questions comprises ranking the set of candidate questions at least in part according to a machine learning-to-rank function and/or at least in part according to a natural language function. 5. The method of claim 4, wherein the ranking the set of candidate questions at least in part according to the machine learning-to-rank function and/or at least in part according to the natural language function comprises ranking the set of candidate synthetic questions based at least in part on part of speech tags and/or dependency trees generated for individual synthetic questions of the set of candidate synthetic questions. 6. The method of claim 3, wherein the generating the plurality of synthetic questions comprises performing a diversity function on at least a subset of the candidate synthetic questions. 7. The method of claim 6, wherein the diversity function comprises identifying redundant synthetic questions from the at least the subset of the candidate synthetic questions. 8. The method of claim 7, wherein the identifying redundant questions comprises employing an edit-distance filter for the at least the subset of the candidate synthetic questions. 9. The method of claim 6, wherein the diversity function comprises employing a first-word filter for the at least the subset of the candidate synthetic questions. 10. The method of claim 3, wherein the generating the plurality of synthetic questions comprises performing a quality estimation function on at least a subset of the candidate synthetic questions. 11. The method of claim 10, further comprising performing the quality estimation function based at least in part on one or more parameters for a logistical mathematical function determined at least in part through training of a machine learning tool. 12. An article, comprising: a non-transitory storage medium having stored thereon instructions executable by a processor of a computing platform to: generate a plurality of synthetic questions based at least in part on a search query; and transmit the plurality of synthetic questions to a user computing device. 13. The article of claim 12, wherein the storage medium has stored thereon further instructions executable by the processor of the computing platform to: obtain a selection of one or more of the plurality of synthetic questions by the user; and submit the user selection to one or more community question answering sites. 14. The article of claim 12, wherein the storage medium has stored thereon further instructions executable by the processor of the computing platform to generate the plurality of synthetic questions at least in part by: generating a set of candidate synthetic questions; and ranking the set of candidate synthetic questions. 15. The article of claim 14, wherein the storage medium has stored thereon further instructions executable by the processor of the computing platform to rank the set of candidate synthetic questions at least in part according to a machine learning-to-rank function and/or at least in part according to a natural language function. 16. The article of claim 15, wherein the storage medium has stored thereon further instructions executable by the processor of the computing platform to rank the set of candidate synthetic questions based at least in part on part of speech tags and/or dependency trees generated for individual questions of the set of candidate synthetic questions. 17. The method of claim 14, wherein the storage medium has stored thereon further instructions executable by the processor of the computing platform to generate the plurality of synthetic questions at least in part by performing a diversity function on at least a subset of the candidate synthetic questions. 18. The article of claim 17, wherein the diversity function comprises identifying redundant questions from the at least the subset of the candidate synthetic questions. 19. The article of claim 14, wherein the storage medium has stored thereon further instructions executable by the processor of the computing platform to generate the plurality of synthetic questions so as to perform a quality estimation function on at least a subset of the candidate synthetic questions. 20. An apparatus, comprising: means for generating a plurality of synthetic questions based at least in part on a search query; means for transmitting the plurality of synthetic questions to a client computing device. 21. The apparatus of claim 20, further comprising means for ranking the set of synthetic questions at least in part according to a machine learning-to-rank function and/or at least in part according to a natural language function.