1. A method performed by one or more computers, the method comprising: receiving an input comprising a plurality of features of a resource, wherein each of the features is of a different feature type; generating an alternative representation of the features of the resource, comprising: generating a respective numeric representation of each the features by processing each of the features using a respective embedding function, wherein each of the embedding functions is specific to features of a respective feature type, and processing the respective numeric representations through one or more neural network layers to generate the alternative representation; and providing the alternative representation of the features of the resource as input to a neural network classifier for classification of a relevance of a plurality of concept terms to the resource.
1. A method performed by one or more computers, the method comprising: receiving an input comprising a plurality of features of a resource, wherein each of the features is of a different feature type; generating an alternative representation of the features of the resource, comprising: generating a respective numeric representation of each the features by processing each of the features using a respective embedding function, wherein each of the embedding functions is specific to features of a respective feature type, and processing the respective numeric representations through one or more neural network layers to generate the alternative representation; and providing the alternative representation of the features of the resource as input to a neural network classifier for classification of a relevance of a plurality of concept terms to the resource. 7. The method of claim 1 , wherein a particular feature of the plurality of features is not discrete, and wherein the method further comprises: hashing the particular feature to generate a hashed feature; partitioning the hashed feature into a particular partition of a predetermined set of partitions; and processing a value corresponding to the particular partition using the embedding function for the feature.