Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
An increasing number of applications operate on data obtained from the Web. These applications typically maintain local copies of the web data to avoid network latency in data acc...
In this paper, we present work on enhancing the basic data resource of a context-aware system. First, we introduce a supervised approach to extracting geographical relations on a ...
to extract information at a level of abstraction that is useful to investigators interested in analyzing application usage or evaluating usability. This survey examines computer-ai...
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...