When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
In today’s fast-paced world, while the number of channels of television programming available is increasing rapidly, the time available to watch them remains the same or is decr...
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
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...