Research Interests
My areas of research include Knowledge Graphs, Knowledge Graph Construction, Language Models, and the Semantic Web. My work involves utilizing language models for Knowledge Graph construction and Link Prediction. Furthermore, I actively participate in the assessment of Knowledge Graph embeddings, particularly focusing on various relation patterns.
I am accountable for establishing the foundational linking infrastructure that serves as the backbone of GESIS search. Additionally, I am involved in constructing the GESIS Knowledge Graph, a comprehensive knowledge graph dedicated to scholarly articles within the social science domain.
Publications
2023
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Biswas, D., Linzbach, S., Dimitrov, D., Jabeen, H., Dietze, S. (2023). Broadening BERT vocabulary for Knowledge Graph Construction using Wikipedia2Vec. In Joint proceedings of the 1st workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM) and the 2nd challenge on Language Models for Knowledge Base Construction (LM-KBC) co-located with the 22nd International Semantic Web Conference (ISWC 2023).
2021
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Donatelli, L., Schmidt, T., Biswas, D., Köhn, A., Zhai, F., Koller, A. (2021). Aligning Actions Across Recipe Graphs. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
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Zouhar, V., Mosbach, M., Biswas, D., & Klakow, D. (2021). Artefact Retrieval:Overview of NLP Models with Knowledge Base Access. In the First Workshop on Commonsense Reasoning and Knowledge Bases (CSKB) at AKBC 2021.
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Biswas, D., Dubey, M., Rony, M.R., & Lehmann, J. (2021). VANiLLa : Verbalized Answers in Natural Language at Large Scale. ArXiv.