Papers by Evan Parker Kelly Chapple
Multilingual Verbalisation of Knowledge Graphs (2025.findings-emnlp)
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| Challenge: | Most work on Knowledge Graph (KG) verbalisation is monolingual leaving open the question of how to scale KG-to-Text generation to languages with varying amounts of resources. |
| Approach: | They explore how to scale KG-to-Text generation to languages with varying resources . they construct multilingual training data and test data for each language . |
| Outcome: | The proposed approach performs best on all 9 languages, compared with other approaches on low vs high resource languages and on in- v. out-of-domain data. |