Citation Intent Classification
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Benchmarks
Most implemented
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Deep contextualized word representations
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
SciBERT: A Pretrained Language Model for Scientific Text
Leveraging GANs for citation intent classification and its impact on citation network analysis
CitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers
Papers
A Large-Scale Dataset and Citation Intent Classification in Turkish with LLMs
Understanding the qualitative intent of citations is essential for a comprehensive assessment of academic research, a task that poses unique challenges for agglutinative languages like Turkish. This paper introduces a sy…
Citation Intent ClassificationLeveraging GANs for citation intent classification and its impact on citation network analysis
Citations play a fundamental role in the scientific ecosystem, serving as a foundation for tracking the flow of knowledge, acknowledging prior work, and assessing scholarly influence. In scientometrics, they are also cen…
Citation Intent Classificationintent-classificationIntent ClassificationWhy do you cite? An investigation on citation intents and decision-making classification processes
Identifying the reason for which an author cites another work is essential to understand the nature of scientific contributions and to assess their impact. Citations are one of the pillars of scholarly communication and …
Citation Intent ClassificationDecision Makingintent-classificationIntent ClassificationCitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers
Citations in scientific papers not only help us trace the intellectual lineage but also are a useful indicator of the scientific significance of the work. Citation intents prove beneficial as they specify the role of the…
ARCCitation Intent Classificationintent-classificationIntent Classification+1VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
Pre-trained language models have achieved promising performance on general benchmarks, but underperform when migrated to a specific domain. Recent works perform pre-training from scratch or continual pre-training on doma…
Citation Intent ClassificationLanguage ModelingLanguage ModellingTowards Better Citation Intent Classification
Accurate classification of citation intents in a scientific article provides deeper contextual understanding of and better quantifies the contributions of cited articles. This improves scientific literature platform capa…
ArticlesCitation Intent ClassificationClassificationData Augmentation+3