This paper presents METEOR-NEXT, an extended version of the METEOR metric designed to have high correlation with postediting measures of machine translation quality. We describe c...
This paper explores methods to alleviate the effect of lexical sparseness in the classification of verbal arguments. We show how automatically generated selectional preferences ar...
This paper presents an effective approach to discard most entries of the rule table for statistical machine translation. The rule table is filtered by monolingual key phrases, whi...
We investigate the use of textual Internet conversations for detecting questions in spoken conversations. We compare the text-trained model with models trained on manuallylabeled,...
The purpose of this paper is to survey recent developments and trends in the area of generalized information theory (GIT) and to discuss some of the issues of current interest in ...