v.1.0 checklist

[vseloved]

For v.1.0

• [x] Sort out all exports
• [x] Restore GREEN status in Travis (some API have changed and made some tests obsolete), write more tests
• [x] Finish pprint-syntax etc.
• [ ] Implement NER tagger for English (using embeddings and FNN)
• [ ] Implement Dependency parser for English (using stack-buffer-parser)
• [ ] Implement Constituency parser for English (using stack-buffer-parser)
• [x] In the process, try to use Logistic Regression alongside AvgPerceptron, fix possible issues in the implementation
• [ ] Improve getting dictionary data from Wiktionary (test on several langs)
• [x] Implement HTTP API
• [ ] Documentation: general usage scenarios (main pipeline), multilang support, API, working with dictionaries, embeddings, corpora, useful utilities

Post-1.0 experiments

• [ ] Implement NNSE word embeddings
• [ ] Implement AMR parsing (using stack-buffer-parser)
• [ ] Implement Anchor topic model
• [ ] Maybe, use AROW instead of AvgPerceptron (see cl-online-learning)
• [ ] Implement classifier calibration

[vityok]

Isn't the "Projects" tab created to track roadmaps and organize development around particular features?