ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation

arXiv:2403.08737v1 Announce Type: cross
Abstract: Existing Machine Learning approaches for local citation recommendation directly map or translate a query, which is typically a claim or an entity mention, to citation-worthy research papers. Within such a formulation, it is challenging to pinpoint why one should cite a specific research paper for a particular query, leading to limited recommendation interpretability. To alleviate this, we introduce the evidence-grounded local citation recommendation task, where the target latent space comprises evidence spans for recommending specific …

abstract arxiv claim cs.cl cs.ir evidence machine machine learning map paper papers query recommendation research research paper research papers translate type