A method, computer program product and computer system are provided. A processor identifies a plurality of numeric expressions in a text corpus associated with a type of item. A processor generates a plurality of feature vectors corresponding to the identified plurality of numeric expressions. A processor identifies one or more common features of the plurality of feature vectors. A processor generates one or more rules for representing numeric quantities of the type of item based, at least in part, on the one or more common features of the plurality of feature vectors.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-7. (canceled) 8. A computer program product comprising: one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to identify a plurality of numeric expressions in a text corpus associated with a type of item; program instructions to generate a plurality of feature vectors corresponding to the identified plurality of numeric expressions; program instructions to identify one or more common features of the plurality of feature vectors; and program instructions to generate one or more rules for representing numeric quantities of the type of item based, at least in part, on the one or more common features of the plurality of feature vectors. 9. The computer program product of claim 8, wherein the identified one or more common features are based, at least in part, on cluster analysis of the plurality of feature vectors mapped to a feature space. 10. The computer program product of claim 8, wherein the plurality of feature vectors include one or more of the following feature dimensions: (i) numeric value, (ii) expression type, (iii) expression precision, and (iv) unit of measurement. 11. The computer program product of claim 10, the program instructions further comprising: program instructions to determine a respective plurality of normalized numeric values for the numeric value feature of the plurality of feature vectors. 12. The computer program product of claim 11, the program instructions further comprising: program instructions to identify a first common feature of the plurality of feature vectors based, at least in part, on a first range of normalized numeric values; and program instructions to identify a second common feature of the plurality of feature vectors based, at least in part, on a second range of normalized numeric values. 13. The computer program product of claim 12, wherein the one or more rules for representing numeric quantities include (i) the first common feature for numeric quantities in the first range of normalized numeric values and (ii) the second common feature for numeric quantities in the second range of normalized values. 14. The computer program product of claim 8, the program instructions further comprising: program instructions to receive a numeric value associated with the type of item; program instructions to retrieve one or more rules for representing numeric quantities of the type of item; and program instructions to generate a formatted numeric expression based, at least in part, on the one or more rules for representing numeric quantities of the type of item, wherein the formatted numeric expression includes one or more of the following formatted features: (i) expression type, (iii) expression precision, and (iv) unit of measurement. 15. A computer system comprising: one or more computer processors; one or more computer readable storage media; and program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to identify a plurality of numeric expressions in a text corpus associated with a type of item; program instructions to generate a plurality of feature vectors corresponding to the identified plurality of numeric expressions; program instructions to identify one or more common features of the plurality of feature vectors; and program instructions to generate one or more rules for representing numeric quantities of the type of item based, at least in part, on the one or more common features of the plurality of feature vectors. 16. The computer system of claim 15, wherein the identified one or more common features are based, at least in part, on cluster analysis of the plurality of feature vectors mapped to a feature space. 17. The computer system of claim 15, wherein the plurality of feature vectors include one or more of the following feature dimensions: (i) numeric value, (ii) expression type, (iii) expression precision, and (iv) unit of measurement. 18. The computer system of claim 17, the program instructions further comprising: program instructions to determine a respective plurality of normalized numeric values for the numeric value feature of the plurality of feature vectors. 19. The computer system of claim 18, the program instructions further comprising: program instructions to identify a first common feature of the plurality of feature vectors based, at least in part, on a first range of normalized numeric values; and program instructions to identify a second common feature of the plurality of feature vectors based, at least in part, on a second range of normalized numeric values. 20. The computer system of claim 19, wherein the one or more rules for representing numeric quantities include (i) the first common feature for numeric quantities in the first range of normalized numeric values and (ii) the second common feature for numeric quantities in the second range of normalized values.