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Rebecca Dridan

Research Interests

• Using deep NLP
• Parser evaluation
• Parse ranking
• Cross-framework parser comparison
• Japanese, and in general, multilingual NLP
• Question answering

Current Research

I'm looking at ways of enhancing deep parsing with the output of shallow processing tools. Specifically I'm annotating the input to the PET HPSG parser, and then later investigating whether shallow tools can help with the separate problems of no complete output (robustness) and too much output (ambiguity). I'm especially interested in determining whether some tools are better for particular languages than others, and which (if any) techniques are really language independent. Following from this, meaningful accuracy evaluations have become a central problem. Hence I am looking at how parsers are evaluated, what is common between different frameworks, and hopefully what these differences mean in practice.

Publications

• Rebecca Dridan: "Using Lexical Statistics to Improve HPSG Parsing", PhD Thesis, Saarland University (2009) [pdf bib]
• Rebecca Dridan, Valia Kordoni and Jeremy Nicholson: "Enhancing Performance of Lexicalised Grammars", in Proceedings of ACL-08: HLT, Columbus, USA (2008) [pdf bib]
• Rebecca Dridan and Timothy Baldwin: "What to classify and how: Experiments in question classification for Japanese", in Proceedings of the 10th Conference of the Pacific Association for Computational Linguistics (PACLING), Melbourne, Australia (2007) [pdf bib]
• Rebecca Dridan: "Using Minimal Recursion Semantics in Japanese Question Answering", Master's Thesis, The University of Melbourne (2007) [pdf bib]
• Rebecca Dridan and Francis Bond: "Sentence Comparison using Robust Minimal Recursion Semantics and an Ontology", in Proceedings of the Workshop on Linguistic Distances, Sydney, Australia (2006) [pdf bib]

Links

Organisations

• Melbourne University Language Technology Group
• DELPH-IN
• Computational Linguistics, Saarland University
• IGK
• PIRE

Random References

• Google Scholar
• The Phrasal Lexicon by Joseph Becker