A Heuristics Strategy for Extracting Terms from Scientific Texts

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A Heuristics Strategy for Extracting Terms from Scientific Texts

P. 285–295.

Bolshakova E. I., Efremova N. E.

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 collection 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.

Language: English

DOI

In book

Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers

Vol. 542: Series: Communications in Computer and Information Science. , Switzerland: Springer, 2015.

Методы и средства извлечения терминов из текстов для терминологических задач

Bolshakova E. I., Семак В. В., Программные продукты и системы 2025 Т. 38 № 1 С. 5–16

The current state in the field of automatic term extraction from specialized natural language texts, including scientific and technical documents, is considered. Practical applications of methods and tools for extracting terms from texts include creation of terminological dictionaries, thesauri, and glossaries of problem oriented domains, as well as extraction of keywords and construction of subject ...

Added: July 2, 2025

Инструментальные средства извлечения терминов из текстов: разработка компонентов для русского языка

Bolshakova E. I., Машонский И. Д., В кн.: Программные системы и инструменты: Тематический сборник, № 20.: МАКС Пресс, 2020. С. 94–105.

Added: October 31, 2021

Automating Hierarchical Subject Index Construction for Scientific Documents

Bolshakova E. I., Ivanov K., , in: Artificial Intelligence.18th Russian Conference, RCAI 2020, Moscow, Russia, October 10–16, 2020.: Springer, 2020. Ch. 14 P. 201–214.

Subject, or back-of-the-book index consists of significant terms with relevant page numbers of the text document, thus providing an easy access to its content. The paper describes methods developed for automating main stages of subject indexing for specialized texts: namely, term extraction, selection of the most important ones, detecting their reference pages, as well as ...

Added: October 31, 2020

Term extraction for constructing subject index of educational scientific text

Bolshakova E. I., Ivanov K., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 30 мая — 2 июня 2018 г.)Вып. 17(24).: М.: Издательский центр «Российский государственный гуманитарный университет», 2018. P. 143–152.

Subject index, or back-of-the-book index, is a device intended to provide an easy access to relevant fragments of a text document. Subject indexes usually contain particular single-word and multi-word terms from the corresponding documents. Such indexes are especially useful for reading large documents with specialized terminology, as well as educational texts in difficult scientific and ...

Added: September 12, 2018

A Heuristics Strategy for Extracting Terms from Scientific Texts

Bolshakova E. I., Efremova N. E., , in: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected PapersVol. 542: Series: Communications in Computer and Information Science.: Switzerland: Springer, 2015. P. 285–295.

Added: September 5, 2017