Directories - data: training and test data - ner: Stanford NER + models: model files and property files - ilp: Bilingual ILP - scripts: Some useful scrips Steps (See run.sh) - CRF-based NER * training: build Chinese and English NER models * test: predict NER results and probability of each word to a tag - Calculate PMI * calculate PMI scores through the NER results - Bilingual ILP * predict NER results with bilingual ILP - Evaluation * evaluate the performances of CRF-based and Bi_ILP-based NER