A method, system, and non-transitory compute readable medium for vector representation of a sequence of items, including training a sequence using a first distributed representation, such that a new distributed representation is produced for which vector entries of the new distributed representation are amplified to create dominant dimensions for when the vector entries of each item correspond to a class of an item to be explained and fractionalizing vector entries of each item that do not correspond to the class of the item to be explained such that the dominant dimensions correspond to higher absolute value entries than the fractionalized vector entries in order to emphasize the dominant dimensions.
SYSTEM, METHOD, AND RECORDING MEDIUM FOR VECTOR REPRESENTATION OF WORDS IN A LANGUAGE