Citation Intent Classification
7 papers with code • 2 benchmarks • 3 datasets
Identifying the reason why an author cited another author.
SciCite
ACL ARC
Most implemented papers
Deep contextualized word representations
We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e. g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i. e., to model polysemy).
SciBERT: A Pretrained Language Model for Scientific Text
allenai/scibert
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IJCNLP 2019
Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive.
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
allenai/dont-stop-pretraining
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ACL 2020
Language models pretrained on text from a wide variety of sources form the foundation of today's NLP.
Structural Scaffolds for Citation Intent Classification in Scientific Publications
allenai/scicite
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NAACL 2019
Identifying the intent of a citation in scientific papers (e. g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature.
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse.
