Multi-processor systems are becoming more commonplace and affordable. Based on analyses of actual parsings, we argue that to exploit the capabilities of such machines, unification...
Considering the difficulties inherent in the manual construction of natural language parsers, we have designed and implemented our system GRIND which is capable of learning a sequ...
The paper describes two parsing schemes: a shallow approach based on machine learning and a cascaded finite-state parser with a hand-crafted grammar. It discusses several ways to...
We describe an algorithm for generating multimodal referring expressions, based on empirical data. The main novelties are (1) a decision to point based on both the efficiency of p...
We describe a biographical multidocument summarizer that summarizes information about people described in the news. The summarizer uses corpus statistics along with linguistic kno...
Barry Schiffman, Inderjeet Mani, Kristian J. Conce...