323 citations · 468 across the 12 of their papers we have counts for
12 papers
Polaris: Learning to Generate Table Descriptions from Retrieval Feedback
Ting Cai, Tuan Minh Phan, AnHai Doan
Many table-centric NLP tasks such as NL2SQL first retrieve relevant tables from large collections using keyword search. Recent work uses LLMs to generate natural-language table des…
Columbo: Expanding Abbreviated Column Names for Tabular Data Using Large Language Models
Ting Cai, Stephen Sheen, AnHai Doan
Expanding the abbreviated column names of tables, such as "esal" to "employee salary", is critical for many downstream NLP tasks for tabular data, such as NL2SQL, table QA, and key…
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization
Adel Ardalan, Derek Paulsen, Amanpreet Singh Saini +2
Many applications need to clean data with a target accuracy. As far as we know, this problem has not been studied in depth. In this paper we take the first step toward solving it.…
Deep Entity Matching with Pre-Trained Language Models
Yuliang Li, Jinfeng Li, Yoshihiko Suhara +2
We present Ditto, a novel entity matching system based on pre-trained Transformer-based language models. We fine-tune and cast EM as a sequence-pair classification problem to lever…
Data Curation with Deep Learning [Vision]
Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani +1
Data curation - the process of discovering, integrating, and cleaning data - is one of the oldest, hardest, yet inevitable data management problems. Despite decades of efforts from…
Toward a System Building Agenda for Data Integration
AnHai Doan, Adel Ardalan, Jeffrey R. Ballard +7
In this paper we argue that the data management community should devote far more effort to building data integration (DI) systems, in order to truly advance the field. Toward this…