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Found 6 papers, 1 papers with code
Wiki-TabNER:Advancing Table Interpretation Through Named Entity Recognition
Finally, we propose a prompting framework for evaluating the newly developed large language models (LLMs) on this novel TI task.
Adversarial Attacks on Tables with Entity Swap
The recently proposed tabular language models have reported state-of-the-art results across various tasks for table interpretation.
Active Learning with Tabular Language Models
Despite recent advancements in tabular language model research, real-world applications are still challenging.
Named Entity Recognition in Industrial Tables using Tabular Language Models
Specialized transformer-based models for encoding tabular data have gained interest in academia.
Generating Table Vector Representations
High-quality Web tables are rich sources of information that can be used to populate Knowledge Graphs (KG).
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.
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