Staff

The many faces of GESIS

Publications

Chapter in an edited book

Gan, Lu, Martin Blum, Danilo Dessi, Brigitte Mathiak, Ralf Schenkel, and Stefan Dietze. 2024 (Forthcoming). "Hidden Entity Detection from GitHub Leveraging Large Language Models." In Workshop on Deep Learning and Large Language Models for Knowledge Graphs, KDD 2024, https://openreview.net/forum?id=mn9v1F6qFS.

Otto, Wolfgang, Matthäus Zloch, Lu Gan, Dr. Saurav Karmakar, and Stefan Dietze. 2023. "GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets." In Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 8166-8176. Singapore: Association for Computational Linguistics. https://aclanthology.org/2023.findings-emnlp.548.

Gan, Lu, Diana Nurbakova, Léa Laporte, and Sylvie Calabretto. 2021. "EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding." In WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 17–24. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3486622.3493925.

Gan, Lu, Diana Nurbakova, Léa Laporte, and Sylvie Calabretto. 2021. "Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances." In Extraction et Gestion des Connaissances, EGC 2021, 365-372.

Gan, Lu, Diana Nurbakova, Léa Laporte, and Sylvie Calabretto. 2020. "Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs." In SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001–2004. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3397271.3401213.

Presentation not at a conference

Gan, Lu. 2021. "EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding." 11th IRIXYS Young Scientists’ Winter Workshop (26th MDPS edition), Lyon, France.

Gan, Lu. 2019. "Diversity-Aware Recommender Systems on Knowledge Graphs." 8th IRIXYS Workshop (23rd MDPS edition): Passau, Germany, 2019-12-05.

Gan, Lu. 2019. "Towards a Fair, Diverse and Interpretable Recommendation." 7th IRIXYS Workshop (22nd edition) and summer school on Transfer Learning in Artificial Intelligence: Lyon , France, 2022-06-17.