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

Ranking model:
- Winnow classifier

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

Cross-language and language-specific methods used:
- none

Any other notes of relevance:
- none
