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A Heuristics Strategy for Extracting Terms from Scientific Texts // Analysis of Images, Social Networks and Textsстатья
Информация о цитировании статьи получена из
Web of Science
Дата последнего поиска статьи во внешних источниках: 18 марта 2016 г.
- Авторы: Bolshakova E.I., Efremova N.E.
- Сборник: Fourth Int. Conference AIST 2015, Communications in Computer and Information Science
- Том: 542
- Год издания: 2015
- Место издания: Springer Berlin Heidelberg
- Первая страница: 285
- Последняя страница: 295
- Аннотация: The paper describes a strategy that applies heuristics to combine sets of terminological words and words combination pre-extracted from a scientific text by several term recognition procedures. Each procedure is based on a col-lection of lexico-syntactic patterns representing specific linguistic information about terms within scientific texts. Our strategy is aimed to improve the quality of automatic term extraction from a particular scientific text. The experiments have shown that the strategy gives 11-17% increase of F-measure compared with the commonly-used methods of term extraction.
- Добавил в систему: Ефремова Наталья Эрнестовна