In this paper, we present an unsupervised hybrid model which combines statistical, lexical, linguistic, contextual, and temporal features in a generic EMbased framework to harvest...
The paper describes a new graphical model transformation language MOLA. The basic idea of MOLA is to merge traditional structured programming as a control structure with pattern-ba...
We present a proposed query language for extended entity relationship schemas. The language improves on previous proposals by using only concepts explicitly in a given schema. It ...
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
The START system responds to natural language queries with answers in text, pictures, and other media. START's sentence-level natural language parsing relies on a number of m...
Boris Katz, Deniz Yuret, Jimmy J. Lin, Sue Felshin...