A Review on Method Entities in the Academic Literature: Extraction, Evaluation, and Application
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Abstract (arXiv)
In scientific research, the method is an indispensable means to solve scientific problems and a critical research object. With the advancement of sciences, many scientific methods are being proposed, modified, and used in academic literature. The authors describe details of the method in the abstract and body text, and key entities in academic literature reflecting names of the method are called method entities. Exploring diverse method entities in a tremendous amount of academic literature helps scholars understand existing methods, select the appropriate method for research tasks, and propose new methods. Furthermore, the evolution of method entities can reveal the development of a discipline and facilitate knowledge discovery. Therefore, this article offers a systematic review of methodological and empirical works focusing on extracting method entities from full-text academic literature and efforts to build knowledge services using these extracted method entities. Definitions of key concepts involved in this review were first proposed. Based on these definitions, we systematically reviewed the approaches and indicators to extract and evaluate method entities, with a strong focus on the pros and cons of each approach. We also surveyed how extracted method entities are used to build new applications. Finally, limitations in existing works as well as potential next steps were discussed.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 17 of its 139 references that are in the map. First posted on arXiv 8 Sep 2022.
Builds on
17 of 139 references.
References · 17
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5 more
- 2020Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attentioncited by 3
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- 2018Challenges of measuring the impact of software: an examination of the lme4 R packagecited by 1
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Citing papers per year: 2026: 4.
4 papers.
- 2026Research Method Usage across Academic Ages in Library and Information Science: An Empirical Study (1990-2023)cited by 0
- 2026Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Paperscited by 0
- 2026Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entitiescited by 0
- 2026Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approachcited by 0
- 2026Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach9 Aug 2026
- 2026Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities24 Jun 2026
- 2026Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers23 Jun 2026
- 2026Research Method Usage across Academic Ages in Library and Information Science: An Empirical Study (1990-2023)20 Jun 2026