This paper presents the first empirical results to our knowledge on learning synchronous grammars that generate logical forms. Using statistical machine translation techniques, a...
From 3 February to 8 February 2008, the Dagstuhl Seminar 08061 State" Conference and Research Center (IBFI), Schloss Dagstuhl. 45 researchers, with interests and expertise in ...
Amal Ahmed, Nick Benton, Martin Hofmann, Greg Morr...
This paper explores the use of statistical machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to...
Complex tasks like question answering need to be able to identify events in text and the relations among those events. We show that this event identification task and a related ta...
This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statist...
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca,...