OpenTag: Open Attribute Value Extraction From Product Profiles

Guineng Zheng University of Utah
Subhabrata Mukherjee Amazon
Xin Luna Dong Amazon
Feifei Li University of Utah


This paper studies Extraction of missing attribute values.


Extraction of missing attribute values is to find values describing an attribute of interest from a free text input. Most past related work on extraction of missing attribute values work with a closed world assumption with the possible set of values known beforehand, or use dictionaries of values and hand-crafted features. How can we discover new attribute values that we have never seen before? Can we do this with limited human annotation or supervision? We study this problem in the context of product catalogs that often have missing values for many attributes of interest.

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