The need for robust and easily extensible systems for word sense disambiguation coupled with successes in training systems for a variety of tasks using large on-line corpora has led to extensive research into corpus-based statistical approaches to this problem. Promising…

by Levent M. Talgar., Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998., Includes bibliographical references (leaf 32).

As we begin to comprehend the ways we interact with the data/information/knowledge structures which construct our individual perception of reality, we see a shift from the dyadic Cartesian method of reading our environment, to a triadic, or Systems View, which…

by Richard J. Donnelly and Philip G. Potts., Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, 1998., Vitae., Includes bibliographical references (leaves 80-81).

by Christopher Gabriel Rodarte., Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998., Includes bibliographical references (leaves 91-94).

In this paper we explore the degree to which patents are representative of the magnitude,
direction, and impact of the knowledge spilling out of the university by focusing on MIT, and in particular on the departments of Mechanical and Electrical…

The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to reason about our world. In the domain…

Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many “data quality” problems are actually “data misinterpretation” problems – that is, problems with data semantics. In this paper, we first illustrate…

This paper presents an intelligent, hybrid system for stamping process planning in progressive die design. The system combines the flexibility of blackboard architecture with case-based reasoning. The hybrid system has the advantage that it can use past knowledge and experience…

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…