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Found 2 papers, 1 papers with code
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
Commonsense question-answering (QA) methods combine the power of pre-trained Language Models (LM) with the reasoning provided by Knowledge Graphs (KG).
Ranked #8 on
Question Answering
on OpenBookQA
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages
Cross Lingual Information Extraction aims at extracting factual information in the form of English triples from low resource Indian Language text.
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