Topics include, but are not limited to:

  • linguistic richness of partial parsers for various applications: syntactic and semantic headedness, the degree of hierarchical structure, semantic information (anaphora, disambiguation);
  • development methodologies for partial parsers: manual, machine learning, hybrid;
  • the usability of language resources for the development of partial parsers;
  • multi-lingual development of partial parsers, etc.;
  • experience and utilization of existing tools for building partial parsers for new languages;
  • technical aspects of partial parsers:
    • robustness, scalability;
    • time and space complexity;
    • expressiveness of partial parsing formalisms (regular vs. context-free rules; unification; type hierarchies; etc.);
  • applications of partial parsers: information extraction, question answering, machine translation, web text mining, acquisition of lexical information, etc.;
  • evaluation methodologies for partial parsers: gold standards, application-specific, reusability of evaluation resources for different partial parsing tasks, etc.;
  • ways of combining multiple partial parsers;
  • comparsion (classification) of partial parsers.
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