Abstract
We describe the use of XML tokenisation, tagging and mark-up tools to prepare
a corpus for parsing. Our techniques are generally applicable but here we focus on parsing Medline abstracts with the ANLT wide-coverage grammar. Handcrafted grammars inevitably lack coverage but many coverage failures are due to inadequacies of their lexicons. We describe a method of gaining a degree of robustness by interfacing POS tag information with the existing lexicon. We also show that XML tools provide a sophisticated approach to pre-processing, helping to ameliorate the ‘messiness’ in real language data and improve parse performance.
a corpus for parsing. Our techniques are generally applicable but here we focus on parsing Medline abstracts with the ANLT wide-coverage grammar. Handcrafted grammars inevitably lack coverage but many coverage failures are due to inadequacies of their lexicons. We describe a method of gaining a degree of robustness by interfacing POS tag information with the existing lexicon. We also show that XML tools provide a sophisticated approach to pre-processing, helping to ameliorate the ‘messiness’ in real language data and improve parse performance.
| Original language | English |
|---|---|
| Title of host publication | Association for Computational Linguistic, 39th Annual Meeting and 10th Conference of the European Chapter, Proceedings of the Conference, July 9-11, 2001, Toulouse, France. |
| Pages | 252-259 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2001 |