This paper presents the first empirical results to our knowledge on learning synchronous grammars that generate logical forms. Using statistical machine translation techniques, a...
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,...
Development has begun on a semantic evaluation (SemEval) methodology and infrastructure for the ARPA Spoken Language Program. SemEval is an attempt to define a task-independent te...
: In order to reduce transmission costs and response time, mobile clients typically cache data locally. But, avoiding the usage of outdated data and maintaining the consistency of ...
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ...