Papers with flow graph parsing

1 papers
End-to-end Parsing of Procedural Text into Flow Graphs (2024.lrec-main)

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Challenge: Existing flow graph parsers lack sufficient annotated data to train them . a lack of annotation can cause costly training, and poor flow graph training results in a large improvement.
Approach: They propose a multi-task framework that performs tagging and graph generation simultaneously . they take advantage of the abundance of unlabelled recipes and generate noisy silver annotations .
Outcome: The proposed model can unify the input representation and use compact encoders, resulting in small models with significantly fewer parameters than existing models.

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