We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., extract the location and time o...
Michele Banko, Michael J. Cafarella, Stephen Soder...
— Accurately estimating end-to-end performance in distributed systems is essential both for monitoring compliance with service-level agreements (SLAs) and for performance optimiz...
Many systems – such as map viewers or visual editors – provide a limited viewport onto a larger graphical workspace. The limited viewport means that users often have to navigat...
Pourang Irani, Carl Gutwin, Grant Partridge, Mahta...
—The tremendous growth in the information culture, efficient digital searches are needed to extract and identify information from huge data. The notion that evolution in silicon ...