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Abstract

The PhD thesis titled ``An Agent-Based Evolutionary Computing Approach to Memory-Based Syntactic Parsing of Natural Language'' introduces the grael system (grammar evolution) as one of the first research efforts that investigates an agent-based evolutionary computing approach as a possible machine learning method for data-driven grammar optimization and induction. Using the same architecture, but different information sources, grael can be shown to handle a diverse range of grammar engineering tasks, which can help resolve common issues in corpus-based parsing systems, such as insufficient grammar coverage and the suboptimal distribution of probability mass.

Since the PhD thesis covers a considerable array of research issues, which may not be relevant to all researchers alike, this web page is further subdivided into thematic units. If you want to read the entire thesis, please go to the full download page...

@phdthesis{depauw02phd,
  author={G. De Pauw},
  title={An Agent-Based Evolutionary Computing Approach to Memory-Based Syntactic Parsing of Natural Language},
  year={2002},
  school={University of Antwerp, Antwerp, Belgium},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/depauw02phd.html}
}

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