Citation Intent Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (17 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  11 Oct 2018 534 repositories listed Syntology ran 204 of 659 samples · 455 unverified · 149 pointer-only (licence)
  We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers.
• Deep contextualized word representations
  15 Feb 2018 46 repositories listed Syntology ran 23 of 58 samples · 35 unverified · 25 pointer-only (licence)
  We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e.
• Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
  23 Apr 2020 6 repositories listed Syntology ran 6 of 14 samples · 8 unverified · 1 pointer-only (licence)
  Language models pretrained on text from a wide variety of sources form the foundation of today's NLP.
• SciBERT: A Pretrained Language Model for Scientific Text
  26 Mar 2019 6 repositories listed
  Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive.
• Leveraging GANs for citation intent classification and its impact on citation network analysis
  27 May 2025 1 repository listed
  In this paper, we adopted a GAN-based method to classify citation intents.
• CitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers
  25 Apr 2023 1 repository listed
  For the ACL-ARC dataset, we report a 53.
• Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
  7 Nov 2021 1 repository listed
  Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse.
• ImpactCite: An XLNet-based method for Citation Impact Analysis
  5 May 2020 1 repository listed
  Therefore, citation impact analysis (which includes sentiment and intent classification) enables us to quantify the quality of the citations which can eventually assist us in the estimation of ranking and impact.
• Structural Scaffolds for Citation Intent Classification in Scientific Publications
  2 Apr 2019 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Identifying the intent of a citation in scientific papers (e.
• Measuring the Evolution of a Scientific Field through Citation Frames
  1 Jan 2018 1 repository listed
• Hierarchical Attention Networks for Document Classification
  1 Jun 2016 1 repository listed

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.