Papers by Bingcong Xue

1 papers
AtTGen: Attribute Tree Generation for Real-World Attribute Joint Extraction (2023.acl-long)

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Challenge: Attribute extraction aims to identify attribute names and the corresponding attribute values from descriptive texts.
Approach: They propose a unified formulation for real-world attribute extraction application, where closed-world, open-world and semi-open attribute extraction tasks are modeled uniformly.
Outcome: The proposed model outperforms existing methods on three datasets and outperformed existing methods by a large margin.

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