Machine learningOther
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
The research introduces a Bidirectional Long Short-Term Memory (BiLSTM) network with an attention mechanism for detecting citation-needed sentences in scientific texts, proving its efficiency and potential use in pre-submission and pre-archival checks.
Featured in No. 50 on 22 May 2024 · 2 days after release · 19 citations today · published in Scientometrics
- Released
- 20 May 2024
- First featured
- No. 50 · 22 May 2024
- Citations (Semantic Scholar)
- 19
- Influential citations
- 1
- Published in
- Scientometrics
- Shares when featured
- 15
- Identifier
- doi:10.1007/s11192-020-03421-9
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).