Parsing natural language using guided local search
Michael Daum, Wolfgang Menzel · 2002
In this paper an application of guided local search (GLS) to the problem of natural language parsing is presented. The given parsing approach is situated in a constraint based parsing paradigm [10] that allows natural language processing in a robust and resource adaptive way [16]. Some extensions of GLS are introduced, most notably a multi-threaded search where a couple of agents cooperate with each other in parallel, showing synergetic effects. The resulting algorithm is compared to competing techniques within the framework of weighted constraint dependency grammars [21]. An experimental evaluation shows GLS being on par with similar approaches [7].