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Local citation recommendation (LCR) suggests a set of papers for a citation placeholder within a given context.
Overview of the 2003 kdd cup
Johannes Gehrke, Paul Ginsparg, and Jon Kleinberg · 1931
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Earlier web usage statistics as predictors of later citation impact
Tim Brody, Stevan Harnad, and Leslie Carr · 2006
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The ACL Anthology reference corpus: A reference dataset for bibliographic research in computational linguistics
Steven Bird, Robert Dale, Bonnie Dorr, Bryan Gibson, Mark Joseph, Min-Yen Kan, Dongwon Lee, Brett Powley, Dragomir Radev, and Yee Fan Tan · 2008
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson and Hugo Zaragoza · 2009
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Citation prediction in heterogeneous bibliographic networks
Xiao Yu, Quanquan Gu, Mianwei Zhou, and Jiawei Han · 2012
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A hybrid generative/discriminative approach to citation prediction
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A neural probabilistic model for context based citation recommendation
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Semi-supervised classification with graph convolutional networks
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A dataset of peer reviews (PeerRead): Collection, insights and NLP applications
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Structural scaffolds for citation intent classification in scientific publications
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SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Predicting citation counts based on deep neural network learning techniques
Ali Abrishami and Sadegh Aliakbary · 2019
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Predicting the citations of scholarly paper
Xiaomei Bai, Fuli Zhang, and Ivan Lee · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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SPECTER: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel Weld · 2020
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LEGAL-BERT: The muppets straight out of law school
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos · 2020
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Pmi-masking: Principled masking of correlated spans
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, and Yoav Shoham · 2021
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Fine-grained citation count prediction via a transformer-based model with among-attention mechanism
Shengzhi Huang, Yong Huang, Yi Bu, Wei Lu, Jiajia Qian, and Dan Wang · 2021
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Local citation recommendation with hierarchical-attention text encoder and scibert-based reranking
Nianlong Gu, Yingqiang Gao, and Richard H. R. Hahnloser · 2022
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Citation prediction by leveraging transformers and natural language processing heuristics
Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, and Diego Recupero · 2023
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A context-aware citation recommendation model with bert and graph convolutional networks
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Improved local citation recommendation based on context enhanced with global information
Zoran Medić and Jan Snajder · 2020
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Realm: retrieval-augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang · 2020
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SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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SChuBERT: Scholarly document chunks with BERT-encoding boost citation count prediction
Thomas van Dongen, Gideon Maillette de Buy Wenniger, and Lambert Schomaker · 2020
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Enabling large language models to generate text with citations
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Prototype-based interpretability for legal citation prediction
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SymTax: Symbiotic relationship and taxonomy fusion for effective citation recommendation
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Learning to plan and generate text with citations
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Bibliographic network enhanced local citation recommendation
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