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Evolving Natural Language Grammars without Labels or Data
- 6. GI Sintactically annotated texts S NP VP NP NN NNS VP VBD PP PP IN NNP S NP VP NP NP NP NN NNS VBD PP Factory payrolls fell IN NNP in september
- 9. The inferred grammar depends on the type of the texts : newspapers, tales, poetry,...
- 16. Individuals : possible parse trees of the sentence (the leaves the whole sequence of POS tags of the sentence).
- 17. Initial population : randomly created.
- 22. Grouping : Convert in constituent a randomly sequence of POS tags
- 23. Group-ungroup : group and ungroup at the same time
- 25. Measures : recall, precision and their armonic mean F1.
- 26. Bracked representation of the sentences:
- 29. Recall : Number of brackets in the correct tree which are in the evaluated one
- 30. F1:
- 34. The results are stable for different constituent sizes
- 35. It performs similarly than more refined systems.
- 36. There are a lot of room for improvement in the fitness function.