Citation Intent Classification

7 papers with code • 2 benchmarks • 3 datasets

Identifying the reason why an author cited another author.

Most implemented papers

Deep contextualized word representations

flairNLP/flair NAACL 2018

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 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 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 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

illdepence/cross-lingual-citations-from-en 7 Nov 2021

Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse.