# Literature verification notes

Canonical bibliography support for Series I / Paper 02.

Verified on 2026-08-14 against primary publication pages where available.

1. McKelvey et al. 2017. Aligning Entity Names with Online Aliases on Twitter. ACL Anthology. DOI 10.18653/v1/W17-1104.
2. Moro et al. 2014. Entity Linking meets Word Sense Disambiguation: a Unified Approach. TACL. DOI 10.1162/tacl_a_00179.
3. Cao et al. 2018. Neural Collective Entity Linking. COLING / ACL Anthology.
4. Yang et al. 2019. Learning Dynamic Context Augmentation for Global Entity Linking. ACL Anthology. DOI 10.18653/v1/D19-1026.
5. Zhang et al. 2019. Multi-view Knowledge Graph Embedding for Entity Alignment. arXiv:1906.02390.
6. Trisedya et al. 2019. Entity Alignment between Knowledge Graphs Using Attribute Embeddings. AAAI. DOI 10.1609/aaai.v33i01.3301297.
7. Tan et al. 2014. Mapping Users across Networks by Manifold Alignment on Hypergraph. AAAI. DOI 10.1609/aaai.v28i1.8720.
8. Yan et al. 2025. Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. AAAI. DOI 10.1609/aaai.v39i20.35498.
9. Hu et al. 2026. Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation. AAAI. DOI 10.1609/aaai.v40i37.40363.
10. Sutskever et al. 2009. Modelling Relational Data using Bayesian Clustered Tensor Factorization. NeurIPS.
11. Jenatton et al. 2012. A Latent Factor Model for Highly Multi-relational Data. NeurIPS.
12. Socher et al. 2013. Reasoning With Neural Tensor Networks for Knowledge Base Completion. NeurIPS.
13. Sawada et al. 2026. entity-linkings: A Unified Library for Entity Linking. EACL. DOI 10.18653/v1/2026.eacl-demo.42.
14. Chourasia et al. 2026. Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts. ACL Industry Track. DOI 10.18653/v1/2026.acl-industry.101.