no code implementations • 31 Dec 2023 • Shreyas Verma, Manoj Parmar, Palash Choudhary, Sanchita Porwal
Answering questions using pre-trained language models (LMs) and knowledge graphs (KGs) presents challenges in identifying relevant knowledge and performing joint reasoning. We compared LMs (fine-tuned for the task) with the previously published QAGNN method for the Question-answering (QA) objective and further measured the impact of additional factual context on the QAGNN performance.