This paper presents an effective method for generating natural language sentences from their underlying meaning representations. The method is built on top of a hybrid tree repres...
This paper presents a semantics-based compilation model for an aspect-oriented programming language based on its operational semantics. Using partial evaluation, the model can expl...
Hidehiko Masuhara, Gregor Kiczales, Christopher Du...
This paper describes a framework to support the implementation of web-based systems to manipulate data stored in relational databases. Since the conceptual model of a relational da...
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
We study a clean machine model for external memory and stream processing. We show that the number of scans of the external data induces a strict hierarchy (as long as work space is...