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Associating Symptoms with Syndromes. Reliable Genre Annotation for a Large Russian Webcorpusстатья
- Авторы: Sorokin A.A., Katinskaya A.Y., Sharoff S.A.
- Сборник: Компьютерная лингвистика и интеллектуальные технологии ("Computational Linguistics and Intelligent Technologies")
- Редактор: Добров Борис Викторович
- Том: 13
- Год издания: 2014
- Место издания: Изд-во РГГУ, Москва
- Первая страница: 617
- Последняя страница: 629
- Аннотация: The paper describes several experiments aimed at establishing the parameters for genre annotation of potentially any text which can be collected from the Russian web. We started with a set of text classification parameters, refined them iteratively in several studies and established a reliable framework, which was further subjected to clustering analysis. Overall, we obtained the level of agreement for Krippendorff's a to be in the range of 0.51<a<0.84. We have also discovered the most common combinations of parameters in the test corpus, which should form the basis for classifying very large samples of the Russian web.
- Добавил в систему: Сорокин Алексей Андреевич