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thunlp / NRE

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
MIT License
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Entity order while building distant supervision dataset #15

Closed swbliss closed 6 years ago

swbliss commented 7 years ago

How did you (or Riedel) configure the dataset regarded to the order of entities in sentence.

In training set, there are instances related with both entity pair (e1, e2) and another pair (e2, e1).

In addition, not only those entity pairs don't share sentence instances (relation mentions), but also each pair doesn't have any order of appearance of entities. (I mean, for (e1, e2) entity pair, there are both sentence in which e1 appears before e2, and e2 appears before e1)

I think the order of entities is important as PCNN uses position embedding.

If there is no triple related with (e1, e2) entity pair in Freebase, what sentences are assigned for training instance for (e1, e2)-None and what sentences are assigned for (e2, e1)-None?

Thank you :)

Mrlyk423 commented 6 years ago

The dataset is build by "Modeling relations and their mentions without labeled text." You can refer to this paper.