# Citation Recommendation based on Argumentative Zoning of User Queries

arXiv: https://arxiv.org/abs/2501.18292 · HTML: https://mlsanity.com/paper/2501.18292/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 11 of its 60 references that are in the map.
- First posted on arXiv 30 Jan 2025.

## Builds on (most cited first, 11 of 11)

- [A Survey on Multi-Task Learning](https://mlsanity.com/paper/1707.08114/) (2017)
- [Argument Mining for Understanding Peer Reviews](https://mlsanity.com/paper/1903.10104/) (2019)
- [Citation Recommendation: Approaches and Datasets](https://mlsanity.com/paper/2002.06961/) (2020)
- [A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks](https://mlsanity.com/paper/1903.06464/) (2019)
- [CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context](https://mlsanity.com/paper/2302.07302/) (2023)
- [Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning](https://mlsanity.com/paper/1907.00962/) (2019)
- [Scientific Discourse Tagging for Evidence Extraction](https://mlsanity.com/paper/1909.04758/) (2019)
- [The evolution of argumentation mining: From models to social media and emerging tools](https://mlsanity.com/paper/1907.02258/) (2019)
- [A data filling methodology for time series based on CNN and (Bi)LSTM neural networks](https://mlsanity.com/paper/2204.09994/) (2022)
- [Recommendation of Scholarly Venues Based on Dynamic User Interests](https://mlsanity.com/paper/1612.05817/) (2016)
- [Characterizing References from Different Disciplines: A Perspective of Citation Content Analysis](https://mlsanity.com/paper/2101.07614/) (2021)

## Built on by (most cited first, 4 of 4)

- [Leveraging GANs for citation intent classification and its impact on citation network analysis](https://mlsanity.com/paper/2505.21162/) (2025)
- [Enhancing Academic Paper Recommendations Using Fine-Grained Knowledge Entities and Multifaceted Document Embeddings](https://mlsanity.com/paper/2601.19513/) (2026)
- [Reading Between the Citations: A Typed Claim Network for Scientific Literature](https://mlsanity.com/paper/2605.30966/) (2026)
- [Local Citation Recommendation Without Graph Signals](https://mlsanity.com/paper/2610.15832/) (2026)

## Abstract (arXiv)

Citation recommendation aims to locate the important papers for scholars to cite. When writing the citing sentences, the authors usually hold different citing intents, which are referred to citation function in citation analysis. Since argumentative zoning is to identify the argumentative and rhetorical structure in scientific literature, we want to use this information to improve the citation recommendation task. In this paper, a multi-task learning model is built for citation recommendation and argumentative zoning classification. We also generated an annotated corpus of the data from PubMed Central based on a new argumentative zoning schema. The experimental results show that, by considering the argumentative information in the citing sentence, citation recommendation model will get better performance.