4 citations · 9 across the 7 of their papers we have counts for
7 papers
AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark
Lan Li, Liri Fang, Bertram Ludäscher +1
Data cleaning is a time-consuming and error-prone manual process, even with modern workflow tools such as OpenRefine. We present AutoDCWorkflow, an LLM-based pipeline for automatic…
T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework
Lan Li, Liri Fang, Yiren Liu +2
Entity resolution (ER) is the process of determining whether two representations refer to the same real-world entity and plays a crucial role in data curation and data cleaning. Re…
Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation
Yilin Xia, Shawn Bowers, Lan Li +1
We propose a new approach for modeling and reconciling conflicting data cleaning actions. Such conflicts arise naturally in collaborative data curation settings where multiple expe…
Unlocking Insights: Semantic Search in Jupyter Notebooks
Lan Li, Jinpeng Lv
Semantic search, a process aimed at delivering highly relevant search results by comprehending the searcher's intent and the contextual meaning of terms within a searchable dataspa…
KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution
Liri Fang, Lan Li, Yiren Liu +2
Entity resolution has been an essential and well-studied task in data cleaning research for decades. Existing work has discussed the feasibility of utilizing pre-trained language m…
or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams
Nikolaus Nova Parulian, Lan Li, Bertram Ludaescher
OpenRefine is a popular open-source data cleaning tool. It allows users to export a previously executed data cleaning workflow in a JSON format for possible reuse on other datasets…