27 citations · 31 across the 8 of their papers we have counts for
4 papers · 1 filter
Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian
Dragos-Mitrut Vasile, Elena-Simona Apostol, Stefan-Adrian Toma +2
Relation extraction (RE) for low-resource languages is typically constrained by the lack of annotated corpora. We investigate the feasibility of cross-lingual RE for Romanian by co…
Post-Training Language Models for Continual Relation Extraction
Sefika Efeoglu, Adrian Paschke, Sonja Schimmler
Real-world data, such as news articles, social media posts, and chatbot conversations, is inherently dynamic and non-stationary, presenting significant challenges for constructing…
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
Sefika Efeoglu, Adrian Paschke
Information Extraction (IE) is crucial for converting unstructured data into structured formats like Knowledge Graphs (KGs). A key task within IE is Relation Extraction (RE), which…
Retrieval-Augmented Generation-based Relation Extraction
Sefika Efeoglu, Adrian Paschke
Information Extraction (IE) is a transformative process that converts unstructured text data into a structured format by employing entity and relation extraction (RE) methodologies…