BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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 BERTologyNavigator- a two-phased system that combines relation extraction techniques and BERT embeddings to navigate the relationships within the DBLP Knowledge Graph (KG). Our approach focuses on extracting one-hop relations and labelled candidate pairs in the first phases. This is followed by employing BERT's CLS embeddings and additional heuristics for relation selection in the second phase. Our system reaches an F1 score of 0.2175 on the DBLP QuAD Final test dataset for Scholarly QALD and 0.98 F1 score on the subset of the DBLP QuAD test dataset during the QA phase.
| Original language | English |
|---|---|
| Title of host publication | Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023 : Athens, Greece, November 6-10, 2023 |
| Editors | Debayan Banerjee, Ricardo Usbeck, Nandana Mihindukulasooriya, Mohamad Yaser Jaradeh, Sören Auer, Gunjan Singh, Raghava Mutharaju, Pavan Kapanipathi |
| Number of pages | 8 |
| Volume | 3592 |
| Place of Publication | Aachen |
| Publisher | Rheinisch-Westfälische Technische Hochschule Aachen |
| Publication date | 2023 |
| Article number | 7 |
| Publication status | Published - 2023 |
| Event | Scholarly QALD 2023 - Athen, Greece Duration: 06.11.2023 → 10.11.2023 Conference number: 1 https://ceur-ws.org/Vol-3592/ |
Bibliographical note
Publisher Copyright:
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- Informatics
- Business informatics - Language Models, Knowledge Graph Question Answering (KGQA), DBLP QuAD, DBLP KG, Relation extraction, Relation selection