Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. - Ying Sheng 002; Sandeep Tata; James B. Wendt; Jing Xie 002; Qi Zhao; Marc Najork (KDD, 2018)

RiSER: Learning Better Representations for Richly Structured Emails. - Furkan Kocayusufoglu; Ying Sheng 002; Nguyen Vo; James B. Wendt; Qi Zhao; Sandeep Tata; Marc Najork (WWW, 2019)

Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design. - Ying Sheng 002; Nguyen Vo; James B. Wendt; Sandeep Tata; Marc Najork (CIDR, 2020)

FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. - Bill Yuchen Lin; Ying Sheng 002; Nguyen Vo; Sandeep Tata (KDD, 2020)

Dataset or Not? A Study on the Veracity of Semantic Markup for Dataset Pages. - Tarfah Alrashed; Dimitris Paparas; Omar Benjelloun; Ying Sheng 002; Natasha F. Noy (ISWC, 2021)

Simplified DOM Trees for Transferable Attribute Extraction from the Web. - Yichao Zhou 001; Ying Sheng 002; Nguyen Vo; Nick Edmonds; Sandeep Tata (CoRR, 2021)

Learning Transferable Node Representations for Attribute Extraction from Web Documents. - Yichao Zhou 001; Ying Sheng 002; Nguyen Vo; Nick Edmonds; Sandeep Tata (WSDM, 2022)

Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy. - Ying Sheng 002; Sudeep Gandhe; Bhargav Kanagal; Nick Edmonds; Zachary Fisher; Sandeep Tata; Aarush Selvan (KDD, 2024)