Web: http://arxiv.org/abs/2204.08109

Sept. 20, 2022, 1:14 a.m. | Yu Gu, Yu Su

cs.CL updates on arXiv.org arxiv.org

Question answering on knowledge bases (KBQA) poses a unique challenge for
semantic parsing research due to two intertwined challenges: large search space
and ambiguities in schema linking. Conventional ranking-based KBQA models,
which rely on a candidate enumeration step to reduce the search space, struggle
with flexibility in predicting complicated queries and have impractical running
time. In this paper, we present ArcaneQA, a novel generation-based model that
addresses both the large search space and the schema linking challenges in a
unified …

arxiv encoding knowledge question answering

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