Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Reading and perceiving complex SQL queries has been a time consuming task in traditional database applications for decades. When it comes to decision support systems with automati...
Ling Hu, Kenneth A. Ross, Yuan-Chi Chang, Christia...
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
In this paper, we describe an ontology-driven pattern disambiguation process for Rote Extractors. Our approach can generate lexical patterns for a particular relation from unrestr...
We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two pr...