We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
Traditionally, information extraction from web tables has focused on small, more or less homogeneous corpora, often based on assumptions about the use of <table> tags. A mul...
A distributed system is described that reliably mines parallel text from large corpora. The approach can be regarded as cross-language near-duplicate detection, enabled by an init...
Jakob Uszkoreit, Jay Ponte, Ashok C. Popat, Moshe ...
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
The console logs generated by an application contain messages that the application developers believed would be useful in debugging or monitoring the application. Despite the ubiq...
Wei Xu, Ling Huang, Armando Fox, David A. Patterso...