A method comprising using at least one hardware processor for receiving a topic under consideration (TUC); providing the TUC as input to a claim function, wherein the claim function is configured to mine at least one content resource, and applying the claim function to the at least one content resource, to extract claims with respect to the TUC; and providing the TUC as input to a classification function, and applying the classification function to one or more claims of the extracted claims, to output corresponding one or more classification tags, wherein each classification tag is associated with its corresponding claim.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising using at least one hardware processor for: receiving a topic under consideration (TUC); providing the TUC as input to a claim function, wherein the claim function is configured to mine at least one content resource, and applying the claim function to the at least one content resource, to extract claims with respect to the TUC; and providing the TUC as input to a classification function, and applying the classification function to one or more claims of the extracted claims, to output corresponding one or more classification tags, wherein each classification tag is associated with its corresponding claim. 2. The method of claim 1, further comprising using said at least one hardware processor for providing a claim of the one or more claims as input to an evidence function, wherein the evidence function is configured to mine at least one content resource, and applying the evidence function to the content resource, to extract evidence supporting and associated with the claim. 3. The method of claim 2, wherein: each of the extracted claims is associated with a claim score, each of the outputted classification tags is associated with a classification score, and each piece of evidence of the extracted evidence is associated with an evidence score, and wherein the at least one hardware processor is further used for calculating a fused score for each of the one or more claims based on its associated claim score, classification score and evidence scores. 4. The method of claim 2, further comprising using said at least one hardware processor for generating a list of arguments comprising a plurality of arguments, wherein each argument of the plurality of arguments comprises: i) one different claim of the one or more claims, ii) evidence which is associated with the one different claim, and iii) a classification tag of the classification tags associated with the one different claim. 5. The method of claim 4, further comprising using said at least one hardware processor for displaying the list of arguments. 6. The method of claim 5, wherein the displaying of the list of arguments further comprises ordering the list of arguments according to the fused scores of the one or more claims corresponding to the arguments. 7. The method of claim 3, further comprising using said at least one hardware processor for determining weights, wherein the determining of the weights comprises: determining a claim weight for the claim scores, determining an evidence weight for the evidence scores, determining a classification weight for the classification scores, and wherein the calculating of the fused score is further based on the determined weights. 8. The method of claim 4, further comprising using said at least one hardware processor for refining at least one argument of the plurality of arguments. 9. The method of claim 4, further comprising using said at least one hardware processor for phrasing at least one argument of the plurality of arguments. 10. The method of claim 1, wherein the applying of the classification function to the one or more claims comprises classifying each of the one or more claims as a pro claim or a con claim with respect to the TUC. 11. A method comprising using at least one hardware processor for: generating a claim training dataset comprising a first content item and multiple claims, each of the multiple claims being with respect to a topic of a plurality of topics, wherein the claims are selected from the first content item by a first group of people; generating a classification training dataset comprising a classification of each claim of the multiple claims with respect to its corresponding topic, wherein the classification is performed by a second group of people; learning a claim function for extracting claims from a provided content item, with respect to a provided topic, wherein the learning is based on the claim training dataset; and learning a classification function for classifying a provided claim with respect to a provided topic, wherein the learning is based on the classification training dataset. 12. The method of claim 11, further comprising using said at least one hardware processor for: generating an evidence training dataset comprising a second content item and evidence, the evidence being supportive of the multiple claims, wherein the evidence is selected from the second content item by a third group of people; and learning an evidence function for extracting evidence from a provided content item, supporting a provided claim, based on the evidence training set. 13. The method of claim 12, wherein the first and second content items may include content selected from the group consisting of: textual content, image content, audio content, video content or a combination thereof. 14. The method of claim 11, wherein the classification comprises classifying each claim of the multiple claims as a pro claim or a con claim with respect to its corresponding topic. 15. A computer program product comprising a non-transitory computer-readable storage medium having program code embodied therewith, the program code executable by at least one hardware processor to: receive a Topic Under Consideration (TUC); provide the TUC as input to a claim function, wherein the claim function is configured to mine at least one content resource, and applying the claim function to the at least one content resource, to extract claims with respect to the TUC; and provide the TUC as input to a classification function, and applying the classification function to one or more claims of the extracted claims, to output corresponding one or more classification tags, wherein each classification tag is associated with its corresponding claim. 16. The computer program product of claim 15, wherein the program code is executable by the at least one hardware processor further to provide a claim of the one or more claims as input to an evidence function, wherein the evidence function is configured to mine at least one content resource, and apply the evidence function to the content resource, to extract evidence supporting and associated with the claim. 17. The computer program product of claim 16, wherein: each of the extracted claims is associated with a claim score, each of the one or more claims is associated with a classification tag, and each of the extracted piece of evidence is associated with an evidence score, and wherein the program code is executable by the at least one hardware processor further to calculate a fused score for each of the one or more claims based on its associated claim score, classification score and evidence scores. 18. The computer program product of claim 16, wherein the program code is executable by the at least one hardware processor further to generate a list of arguments comprising a plurality of arguments, wherein each argument of the plurality of arguments comprises: (i) one different claim of the one or more claims, (ii) evidence which is associated with the one different claim, and (iii) a classification tag of the classification tags associated with the one different claim. 19. The computer program product of claim 18, the program code is executable by the at least one hardware processor further to refine at least one argument of the plurality of arguments. 20. The computer program product of claim 18, wherein the program code is executable by the at least one hardware processor further to phrase at least one argument of the plurality of arguments.