Document fields used for training the classifier:
- English abstracts (<abstract lang="EN">)
- IPC-R subclasses (<classification-ipcr>)

Document fields used as input to the classifier:
- English abstracts (<abstract lang="EN">)

Pre-processing of documents/topics:
- A normalization script that removes capitalization, punctuation and numbers
- Simple tokenization
- The AEGIR hybrid parser v. 1.7.2 for creating dependency triples for all English abstracts

Ranking model:
- Winnow classifier

Classification system:
- LCS Winnow with FreqAnalyzer
- 10 iterations in training, alpha=1.02, beta=0.98 

Cross-language and language-specific methods used:
- The AEGIR hybrid parser v. 1.7.2 for creating dependency triples for all English abstracts

Any other notes of relevance:
- none
