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Project Description

Contexts sampled from RuTenTen and RNC. Sense definitions from Active Dictionary. Some words have two annotators. Number of contexts is 100 for most words and 500 for 7 words.

Annotators (words):

  • Анастасия Лопухина (23)
  • Константин Лопухин (11)
  • Александра Удальцова (2)
  • Анастасия К. (2)
  • Анна Кот (2)
  • Анна Татаренко (2)
  • Борис Иомдин (2)
  • Иван Самойленко (1)

Contexts are stored in rl_wsd_labeled/:

├── nouns
│   ├── RNC
│   └── RuTenTen
└── verbs
    └── RuTenTen

A python interface is provided. Intall the package first, and then in order to get labeled contexts:

>>> import rl_wsd_labeled
>>> f = rl_wsd_labeled.contexts_filename('nouns', 'RuTenTen', 'горшок')
>>> rl_wsd_labeled.get_contexts(f)

({'1': 'Округлый глиняный сосуд для приготовления пищи (печной горшок)',
  '2': 'Расширяющийся кверху сосуд с отверстием в дне (цветочный горшок)',
  '3': 'Ночной горшок'},
 [(('телевизор, - ковер, , - музыкальный центр, - стол, - аквариум, - 3 шкафа, - цветы в',
    ' горшках',
    ', - мелкие аксессуары.'),
  (('ибо настанет срок и оно будет разрушено течением времени либо войною, будто старый',
    ' горшок',
    ' с вином в трюме торгового корабля, попавшего в бурю и разбившегося о скалы.'),

Apart from senses, there are two special annotations: “0” means “I don’t know/the context is unclear/the contexts is invalid”, and “max sense + 1” mean “other sense, not listed among given senses”. Contexts marked as “0” or “other” are not returned, unless with_skipped=True is passed. If there was more then one annotator, contexts where annotators did not agree are also not included. There is a function rl_wsd_labeled.get_agreement that returns the ratio of senses where where both annotators gave either the same concrete sense, or both skipped the senses (so “0” and “other” are considered equal).

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rl_wsd_labeled-0.0.2.tar.gz (979.8 kB) Copy SHA256 Checksum SHA256 Source Apr 19, 2017

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