Abstract. This paper describes usage of MT metrics in choosing the best candidates for MT-based query translation resources. Our main metrics is METEOR, but we also use NIST and BL...
In order to produce, a good summary, one has to identify the most relevant portions of a given text. We describe in this t)at)er a method for automatically training tel)it, signat...
With the overwhelming volume of online news available today, there is an increasing need for automatic techniques to analyze and present news to the user in a meaningful and effi...
Ramesh Nallapati, Ao Feng, Fuchun Peng, James Alla...
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...