In this paper we propose a data intensive approach for inferring sentence-internal temporal relations, which relies on a simple probabilistic model and assumes no manual coding. W...
Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
The field of Psychometrics routinely grapples with the question of what it means to measure the inherent ability of an organism to perform a given task, and for the last forty yea...
Rense Lange, Juan Moran, Warren R. Greiff, Lisa Fe...
We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functio...
In statistical machine translation, the currently best performing systems are based in some way on phrases or word groups. We describe the baseline phrase-based translation system...
We use χ2 to investigate the context dependency of student affect in our computer tutoring dialogues, targeting uncertainty in student answers in 3 automatically monitorable cont...
Katherine Forbes-Riley, Mihai Rotaru, Diane J. Lit...
In this demonstration we present a conversational dialog system for automobile drivers. The system provides a voicebased interface to playing music, finding restaurants, and navi...