Papers & Videos

Keti Korini, Christian Bizer. Column Type Annotation using ChatGPT [pdf] [Video]
Viet-Phi Huynh, Yoan Chabot, Raphael Troncy. Towards Generative Semantic Table Interpretation [pdf] [Video]
Aneta Koleva, Martin Ringsquandl, Volker Tresp. Adversarial Attacks on Tables with Entity Swap [pdf] [Video]
Hamed Mirzaei, Davood Rafiei. Table Union Search with Preferences [pdf] [Video]
Vijay S Kumar, Varish Mulwad, Jenny Williams, Tim Finin, Sharad Dixit, Anupam Joshi. Knowledge Graph-driven Tabular Data Discovery from Scientific Documents [pdf] [Video]
Arif Usta, Semih Salihoglu. To Join or Not to Join: An Analysis on the Usefulness of Joining Tables in Open Government Data Portals [pdf] [Video]
Liane Vogel, Carsten Binnig. WikiDBs: A Corpus Of Relational Databases From Wikidata [PDF] [Video]
Davood Rafiei, Arash Dargahi Nobari, Soroush Omidvartehrani. Discovering and Integrating Tabular Data [pdf] [Video]
Eva Chrysostomaki, Maria Stratigi, Vasilis Efthymiou, Kostas Stefanidis, Dimitris Plexousakis. Fair Sequential Group Recommendations in SQUIRREL Movies [pdf] [Video]
(Invited) Udayan Khurana and Sainyam Galhotra. Semantic Concept Annotation for Tabular Data (CIKM'21 Paper) [pdf] [Video]
(Invited) Aamod Khatiwada, Roee Shraga, Wolfgang Gatterbauer, Renée J. Miller. Integrating Data Lake Tables (PVLDB, 2022) [pdf] [Video]
(Invited) Peng Li, Zhiyi Chen, Xu Chu, and Kexin Rong. DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data (SIGMOD 2023) [pdf] [Video]
(Invited) Yuyang Dong, Chuan Xiao, Takuma Nozawa, Masafumi Enomoto, and Masafumi Oyamada. DeepJoin: Joinable Table Discovery with Pre-Trained Language Models (PVLDB 2023) [pdf] [Video]
(Invited) Mukul Singh, José Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, and Gust Verbruggen. CORNET: Learning Table Formatting Rules By Example (PVLDB 2023) [pdf] [Video]
(Invited) Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, and Guoliang Li Coresets over multiple tables for feature-rich and data-efficient machine learning (PVLDB 2022) [pdf] [Video]
(Invited) Starmie: Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning Grace Fan, Jin Wang, Yuliang Li, Dan Zhang, Renée J. Miller (PVLDB 2023) [pdf] [Video]
(Invited) Yushi Sun, Hao Xin, and Lei Chen RECA: Related Tables Enhanced Column Semantic Type Annotation Framework (PVLDB 2023) [pdf] [Video]
(Invited) Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, and Ziawasch Abedjan MATE: Multi-Attribute Table Extraction (PVLDB 2022) [pdf] [Video]
(Invited) Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz LakeBench: Fine-Tuning Benchmarks for Data Discovery over Data Lakes (arxiv 2023) [pdf] [Video]
(Invited) Nora Abdelmageed, Sirko Schindler JenTab: A Toolkit for Semantic Table Annotations (KGCW@ESWC 2021) [pdf] [Video]
(Invited) Madelon Hulsebos, Çagatay Demiralp, and Paul Groth GitTables: A Large-Scale Corpus of Relational Tables (SIGMOD 2023) [pdf] [Video]
(Invited) Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu Automatic Table Union Search with Tabular Representation Learning (ACL Findings 2023) [pdf] [Video]