Paragraph-level Citation Recommendation based on Topic Sentences as Queries

Zoran Medić, Jan Šnajder
5/20/2023
cs.IRcs.CL

No official code found. Best implementation: zoranmedic/qpcr (1 star, last commit 2025-01-11).

Abstract

Citation recommendation (CR) models may help authors find relevant articles at various stages of the paper writing process. Most research has dealt with either global CR, which produces general recommendations suitable for the initial writing stage, or local CR, which produces specific recommendations more fitting for the final writing stages. We propose the task of paragraph-level CR as a middle ground between the two approaches, where the paragraph's topic sentence is taken as input and recommendations for citing within the paragraph are produced at the output. We propose a model for this task, fine-tune it using the quadruplet loss on the dataset of ACL papers, and show improvements over the baselines.

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Code Implementations(1)

zoranmedic/qpcrCommunity100%

Experiments from paper "Paragraph-level Citation Recommendation based on Topic Sentences as Queries"

10Python, Jupyter NotebookMay 20, 20231 years ago

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Cite this paper

@article{medi2023paragraphlevel,
  title  = {Paragraph-level Citation Recommendation based on Topic Sentences as Queries},
  author = {Zoran Medić and Jan Šnajder},
  year   = {2023},
  eprint = {2305.12190},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.12190v1}
}

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