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.