5 citations · 8 across the 13 of their papers we have counts for
13 papers
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
Longquan Jiang, Junbo Huang, Cedric Möller +1
Most existing Knowledge Graph Question Answering (KGQA) approaches are designed for a specific KG, such as Wikidata, DBpedia or Freebase. Due to the heterogeneity of the underlying…
Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge
Aida Usmanova, Junbo Huang, Debayan Banerjee +1
Human-produced emissions are growing at an alarming rate, causing already observable changes in the climate and environment in general. Each year global carbon dioxide emissions hi…
Master of Disaster: A Disaster-Related Event Monitoring System From News Streams
Junbo Huang, Ricardo Usbeck
The need for a disaster-related event monitoring system has arisen due to the societal and economic impact caused by the increasing number of severe disaster events. An event monit…
Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway
Hamed Babaei Giglou, Tilahun Abedissa Taffa, Rana Abdullah +4
This paper introduces a scholarly Question Answering (QA) system on top of the NFDI4DataScience Gateway, employing a Retrieval Augmented Generation-based (RAG) approach. The NFDI4D…
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
Shreya Rajpal, Ricardo Usbeck
The development and integration of knowledge graphs and language models has significance in artificial intelligence and natural language processing. In this study, we introduce the…
Leveraging LLMs in Scholarly Knowledge Graph Question Answering
Tilahun Abedissa Taffa, Ricardo Usbeck
This paper presents a scholarly Knowledge Graph Question Answering (KGQA) that answers bibliographic natural language questions by leveraging a large language model (LLM) in a few-…