2024
DOI: 10.1609/aaai.v38i17.29919
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An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction

Urchade Zaratiana,
Nadi Tomeh,
Pierre Holat
et al.

Abstract: In this paper, we propose a novel method for joint entity and relation extraction from unstructured text by framing it as a conditional sequence generation problem. In contrast to conventional generative information extraction models that are left-to-right token-level generators, our approach is \textit{span-based}. It generates a linearized graph where nodes represent text spans and edges represent relation triplets. Our method employs a transformer encoder-decoder architecture with pointing mechanism on a dy… Show more

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