A Maximum-Entropy Partial Parser for Unrestricted Text
  This paper describes a partial parser that assigns syntactic structures to sequences of part-of-speech tags. The program uses the maximum entropy parameter estimation method, which allows a flexible combination of different knowledge sources: the hierarchical structure, parts of speech and phrasal categories. In effect, the parser goes beyond simple bracketing and recognises even fairly complex structures. We give accuracy figures for different applications of the parser. 
Wojciech Skut and Thorsten Brants (Computational Linguistics,   Universitity of the Saarland, Germany)