Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We...
Myroslava Dzikovska, Johanna D. Moore, Natalie B. ...
This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Sr...
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Abstract. This paper details a collaboration between Aalborg University and NOVO Nordisk in developing an automatic model-based test generation tool for system testing of the graph...
Ulrik H. Hjort, Jacob Illum Rasmussen, Kim Guldstr...
Delivering tailor-made ERP software requires automation of screen and printed report creation to be cost effective. Screens generated directly from data structures tend to have poo...