Multilingual Knowledge Graphs Question Answering

Researcher

Nikit Srivastava

Publications

• Ana Silva, Nikit Srivastava, Tatiana Moteu Ngoli, Michael Röder, Diego Moussallem, Axel-Cyrille Ngonga Ngomo (2024): Benchmarking Low-Resource Machine Translation Systems Full Publication
• Nikit Srivastava, Aleksandr Perevalov, Denis Kuchelev, Diego Moussallem, Axel-Cyrille Ngonga Ngomo, Andreas Both (2023): Lingua Franca – Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs Full Publication

Collaboration

Tatiana Moteu Ngoli

Research Theme

R1 Human agency

Tags

Knowledge Graphs Multilingual Language Models

This project is centered on devising techniques and methodologies to improve the state of Multilingual Question Answering over Knowledge Graphs. Our objective is to work towards developing systems that are able to comprehend and generate SPARQL from a diverse set of languages natively. Given the nature of the task involving transformation of natural language queries into SPARQL, we aim to leverage the capabilities of (large) Language Models (LMs) for this purpose. Therefore, LMs form a fundamental aspect of this research as we extend our efforts to improve the performance on the multilingual variants.