This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classiď...
Sergey Feldman, Marius A. Marin, Mari Ostendorf, M...
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Open bug reporting allows end-users to express a vast array of unwanted software behaviors. However, users’ expectations often clash with developers’ implementation intents. W...
Parmit K. Chilana, Andrew J. Ko, Jacob O. Wobbrock
This paper presents and evaluates several original techniques for the latent classification of biographic attributes such as gender, age and native language, in diverse genres (co...
We investigate the phenomenon of non-recursive trade-offs between descriptional systems in an abstract fashion. We aim at categorizing non-recursive trade-offs by bounds on their g...