Papers by Samuele Garda
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labelling (2021.emnlp-main)
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| Challenge: | Generating or modifying graphs from natural language text has applications in many subfields, such as dependency parsing or knowledge graph construction. |
| Approach: | They propose a method that first embeds the graph and the instructions with a joint encoder and then rebuilds it using a separate generative model for graphs conditioned on h. |
| Outcome: | The proposed method improves accuracy on three scene graph modification data sets while the state-of-the-art fails to generalize. |