Papers with WikiHop corpus

1 papers
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language (P19-1)

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Challenge: ambiguity in natural language is difficult to interpret due to large linguistic variability.
Approach: They propose to use a Prolog prover to extend neural networks with logic programming to solve multi-hop reasoning tasks over natural language.
Outcome: The proposed model outperforms baseline models on two question answering tasks and is competitive on the MedHop corpus.

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