This paper describes recent efforts at Linguistic Data Consortium at the University of Pennsylvania to create manual transcripts as a shared resource for human language technology...
Systems development methodologies continue to be a central area of research in software engineering. As the nature of applications and systems usage move increasingly towards open ...
Luiz Marcio Cysneiros, Vera Werneck, Eric S. K. Yu
Abstract. Evaluation criteria for conversational CBR (CCBR) systems are important to guide development and tuning of new methods, and to enable practitioners to make informed decis...
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
– This paper presents a method for designing classifier to automate an evaluation process of protein crystallization growth states. The classifier is designed by binary decision ...