Rebecca Dridan

Research Fellow
Dept of Computer Science and Software Engineering
University of Melbourne

Office: 6.09, ICT Building
111 Barry St, Carlton
Telephone: +61 (0)3 8344 1406
Email:

Research Interests

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

Current Research

Most of my current projects involve enhancing deep parsing with statistics, specifically using the PET HPSG parser. I'm employed on the OLE project (Online Linguistic Exploration: Deeper, Faster, Broader Language Documentation), where my main role is to produce large amounts of multilingual parsed text. Related to that, I've looked at supertagging configurations that can prioritise robustness or efficiency. I'm also looking at using statistical information to improve parsing of under-resourced languages, through developing methods of training statistical models without manual annotation.

I have a few side projects involving parser evaluation, looking at questions regarding how deep parsers should be evaluated, what is common between different frameworks, and what these differences mean in practice.

Publications

• Rebecca Dridan and Timothy Baldwin: "Unsupervised Parse Selection for HPSG", in Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP 2010), Cambridge, USA (to appear)
• 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