Oratory
发表于 2025-3-30 12:02:29
en manual effort. New initiatives, such as ORKG, focus on transforming the content and results of scientific articles into structured, machine-readable representations using Semantic Web technologies. In this article, we focus on tabular data of scientific articles, which provide an organized and co
defray
发表于 2025-3-30 14:04:26
Thierry Chanier,Michael Pengelly,Michael Twidale,John Self with this challenge, techniques relying on knowledge-graph structures are being advocated. Within such graph-based pipelines, inferring relation types between related scientific concepts is a crucial step. Recently, advanced techniques relying on language models pre-trained on large corpora have be
blithe
发表于 2025-3-30 18:44:53
Carlo Tasso,Danilo Fum,Paolo Giangrandien manual effort. New initiatives, such as ORKG, focus on transforming the content and results of scientific articles into structured, machine-readable representations using Semantic Web technologies. In this article, we focus on tabular data of scientific articles, which provide an organized and co
高原
发表于 2025-3-30 23:27:38
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卷发
发表于 2025-3-31 02:22:35
Gerard Kempenapplicability of citation based machine learning approaches heavily depend on the completeness of citation data. One particular shortcoming of scholarly data nowadays is language coverage. That is, non-English publications are often not included in data sets, or language metadata is not available. W