This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Abstract. We consider the OMG’s Queries, Views and Transformations (QVT) standard as applied to the specification of bidirectional transformations between models. We discuss wha...
This paper describes the process by which we constructed a user model for ERST - an External Representation Selection Tutor - which recommends external representations (ERs) for pa...
This paper presents a new model for word alignments between parallel sentences, which allows one to accurately estimate different parameters, in a computationally efficient way. A...