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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).

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