Rakebul Hasan
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View article: FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios
FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios Open
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 training, conserve substantial computational resources, and rely…
View article: FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios Open
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 training, conserve substantial computational resources, and rely…
View article: Named Entity Recognition in Industrial Tables using Tabular Language Models
Named Entity Recognition in Industrial Tables using Tabular Language Models Open
Specialized transformer-based models for encoding tabular data have gained interest in academia. Although tabular data is omnipresent in industry, applications of table transformers are still missing. In this paper, we study how these mode…
View article: A Machine Learning Approach to SPARQL Query Performance Prediction
A Machine Learning Approach to SPARQL Query Performance Prediction Open
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or…