Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
Many software systems are developed with configurable functionality, and for multiple hardware platforms and operating systems. This can lead to thousands of possible configuratio...
Lerina Aversano, Massimiliano Di Penta, Ira D. Bax...
Abstract. We consider the problem of sending messages into the future." Previous constructions for this task were either based on heuristic assumptions or did not provide anon...
Giovanni Di Crescenzo, Rafail Ostrovsky, Sivaramak...
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...