Annotating Relation Inference in Context via Question Answering

Annotating Relation Inference in Context via Question Answering.
Omer Levy and Ido Dagan. ACL 2016. [pdf] [supplementary] [slides]

We convert the inference task to one of simple factoid question answering, allowing us to easily scale up to 16,000 high-quality examples.


The code used to extract assertions and create the dataset is available here.


  • Annotated Dataset [download]
  • Assertions extracted from Google Books [download]


We used the following embeddings as baselines.

  • Dependency-based word embeddings using Google Books [download]
  • Relation embeddings using the extracted assertions [download]

The embeddings are saved in NumPy format, and can be used with hyperwords.






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