In many areas of NLP reuse of utility tools such as parsers and POS taggers is now common, but this is still rare in NLG. The subfield of surface realisation has perhaps come clos...
Anja Belz, Mike White, Josef van Genabith, Deirdre...
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
The task of object identification occurs when integrating information from multiple websites. The same data objects can exist in inconsistent text formats across sites, making it ...
A long-standing goal of Web research has been to construct a unified Web knowledge base. Information extraction techniques have shown good results on Web inputs, but even most dom...
Michael J. Cafarella, Jayant Madhavan, Alon Y. Hal...
Understanding the structure of large existing (and evolving) software systems is a major challenge for software engineers. In reverse engineering, we aim to compute, for a given s...