Papers by Gustave Hahn-Powell

1 papers
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction (2022.lrec-1)

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Challenge: a "deep learning tsunami" has brought tremendous improvements in performance to most NLP applications.
Approach: They propose a method for rule synthesis from examples that combines the advantages of deep learning and rule-based methods.
Outcome: The proposed method achieves state-of-the-art on 1-shot task and competitive performance in 5-shot scenario.

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