In this paper, we present a learning-based approach for enabling domain-awareness for a generic natural language interface. Our approach automatically acquires domain knowledge fr...
The amount of readily available on-line text has reached hundreds of billions of words and continues to grow. Yet for most core natural language tasks, algorithms continue to be o...
An analysis of the evolution of Natural Language front ends in the last three decades shows that the growth in portability brought, as a side effect, the narrowing of the provided...
Database Semantics (DBS) is a computational model of how communicating with natural language works. at a level of abstraction which may be applied to natural and artificial agents...
This article introduces the idea that information compression by multiple alignment, unification and search (ICMAUS) provides a framework within which natural language syntax may ...