This paper presents a language identification technique that detects Latin-based languages of imaged documents without OCR. The proposed technique detects languages through the wo...
There are many common spreadsheet errors that traditional spreadsheet systems do not help users find. This paper presents a statically-typed spreadsheet language that adds additio...
Michael J. Coblenz, Andrew Jensen Ko, Brad A. Myer...
Determining the direction of plagiarism (who plagiarized whom in a given pair of documents) is one of the most interesting problems in the field of automatic plagiarism detection. ...
Domain adaptation, the problem of adapting a natural language processing system trained in one domain to perform well in a different domain, has received significant attention. Th...
The research question treated in this paper is centered on the idea of exploiting rich resources of one language to enhance the performance of a mention detection system of anothe...