9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 9 cited
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
Yongjian Tang, Rakebul Hasan, Thomas Runkler
Large Language Models (LLMs) have provided a new pathway for Named Entity Recognition (NER) tasks. Compared with fine-tuning, LLM-powered prompting methods avoid the need for train…
cs.AI2022
Named Entity Recognition in Industrial Tables using Tabular Language Models
Aneta Koleva, Martin Ringsquandl, Mark Buckley +2
Specialized transformer-based models for encoding tabular data have gained interest in academia. Although tabular data is omnipresent in industry, applications of table transformer…