Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science
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Computer Science > Computation and Language
Title:Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science
Abstract:Research methods are essential carriers of knowledge contribution in academic papers. Automatic multi-label classification of research methods can support knowledge services such as method retrieval, review generation, and research intelligence analysis. While existing studies primarily rely on titles and abstracts, abstracts often provide only limited methodological information, whereas utilizing full-text content faces challenges related to excessive length and information redundancy. Therefore, this paper proposes a segment combination strategy by partitioning the full-text content according to its physical postion. Using an annotated corpus of 1,954 full-text articles from three representative journals in Library and Information Science (JASIST, LISR, and JDoc), we evaluate the classification performance of various segments and their combinations across multiple models. Experimental results indicate that methodological information is distributed unevenly within the full-text content, with the middle-to-late and final segments exhibiting greater discriminative power. Furthermore, integrating bibliographic metadata with cross-segment combination strategies effectively enhances classification performance.
| Comments: | ASIST 2026 |
| Subjects: | Computation and Language (cs.CL); Digital Libraries (cs.DL); Information Retrieval (cs.IR) |
| Cite as: | arXiv:2606.19051 [cs.CL] |
| (or arXiv:2606.19051v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2606.19051
arXiv-issued DOI via DataCite (pending registration)
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