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v.1.0 checklist #30

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vseloved opened this Issue Apr 15, 2017 · 1 comment

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vseloved commented Apr 15, 2017

For v.1.0

  • Sort out all exports
  • Restore GREEN status in Travis (some API have changed and made some tests obsolete), write more tests
  • 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)
  • 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)
  • 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
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vityok Jan 11, 2018

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

vityok commented Jan 11, 2018

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

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