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20182022
most citedImproving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

204 citations · 344 across the 21 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CL2021

NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset

Qiyuan Zhang, Lei Wang, Sicheng Yu +4

While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall…

cs.CL2021

Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision

Yang Li, Guodong Long, Tao Shen +1

Distant supervision uses triple facts in knowledge graphs to label a corpus for relation extraction, leading to wrong labeling and long-tail problems. Some works use the hierarchy…

cs.CL2021

Complex Knowledge Base Question Answering: A Survey

Yunshi Lan, Gaole He, Jinhao Jiang +3

Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Early studies mainly focused on answering simple questions over KBs and achieved grea…

cs.CL2021★ 47 cited

Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation

Cunxiao Du, Zhaopeng Tu, Jing Jiang

We propose a new training objective named order-agnostic cross entropy (OaXE) for fully non-autoregressive translation (NAT) models. OaXE improves the standard cross-entropy loss t…

cs.CL2021★ 13 cited

A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

Yunshi Lan, Gaole He, Jinhao Jiang +3

Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicate…

cs.CL2021★ 4 cited

Investigating Math Word Problems using Pretrained Multilingual Language Models

Minghuan Tan, Lei Wang, Lingxiao Jiang +1

In this paper, we revisit math word problems~(MWPs) from the cross-lingual and multilingual perspective. We construct our MWP solvers over pretrained multilingual language models u…

cs.CL2021★ 204 cited

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

Gaole He, Yunshi Lan, Jing Jiang +2

Multi-hop Knowledge Base Question Answering (KBQA) aims to find the answer entities that are multiple hops away in the Knowledge Base (KB) from the entities in the question. A majo…