Yuheng Bao — accepted AI-conference papers

2023

MarkQA: A large scale KBQA dataset with numerical reasoning

Xiang Huang, Sitao Cheng, Yuheng Bao, Shanshan Huang, Yuzhong Qu

EMNLP 2023long main

While question answering over knowledge bases (KBQA) has shown progress in addressing factoid questions, KBQA with numerical reasoning remains relatively unexplored. In this paper, we focus on the complex numerical reasoning in KBQA, and propose a new task, NR-KBQA, which necessitates the ability t…

Cited by 0 Source ↗code ↗Scholar ↗

2023

Question Decomposition Tree for Answering Complex Questions over Knowledge Bases

Xiang Huang, Sitao Cheng, Yiheng Shu, Yuheng Bao, Yuzhong Qu

AAAI 2023technical

Knowledge base question answering (KBQA) has attracted a lot of interest in recent years, especially for complex questions which require multiple facts to answer. Question decomposition is a promising way to answer complex questions. Existing decomposition methods split the question into sub-questio…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗