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Found 4 papers, 2 papers with code
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) shared task, asks participating systems to determine whether human-authored claims are Supported or Refuted based on evidence retrieved from Wikipedia (or NotEnoughInfo if the claim cannot be verified).
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
In this work, we introduce a post-hoc method for interpreting the predictions of GNNs which identifies unnecessary edges.
Evaluating for Diversity in Question Generation over Text
Generating diverse and relevant questions over text is a task with widespread applications.
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages
In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding.
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