2 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
Fine-Grained Named Entities for Corona News
Sefika Efeoglu, Adrian Paschke
Information resources such as newspapers have produced unstructured text data in various languages related to the corona outbreak since December 2019. Analyzing these unstructured…
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…