Papers by Nicolas Pröllochs

1 papers
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach (N19-1)

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Challenge: Negation scope detection is a supervised learning task which relies on negation labels at word level.
Approach: They propose a method that replaces world-level negation labels with document-level sentiment annotations.
Outcome: The proposed approach eliminates the need for world-level negation labels and replaces it with document-level sentiment annotations.

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