信息抽取的高层自动机库

GExp High level automaton library for information extraction. Usage: * Named Entity Recognition(NER) patterns * Optimal match finding (for ambiguous grammars) * Relation and fact extraction * Structure parsing (like document structure, sententce parsing) * Search problem solving (like Suduku) GExp Features: all standard reg exp operators: +, {n,n}, {n,}, .... much more: java predicates on groups, reluctant, greedy, cut operator, inner match... structure of match -it is possible to build syntax tree based on match weighted regexps allow you to encode preference of different graph path with your scoring functions, heuristic search will handle the rest. easy extendable framework model. You can easily write new matchers and use them with existed. dynamic structure of graph (allow you to use gexp to solve