activity
20202023
most citedImproving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

204 citations · 283 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 20 cited

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

Yihuai Lan, Lei Wang, Qiyuan Zhang +5

Developing automatic Math Word Problem (MWP) solvers has been an interest of NLP researchers since the 1960s. Over the last few years, there are a growing number of datasets and de…

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.AI2021★ 3 cited

MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving

Zhenwen Liang, Jipeng Zhang, Lei Wang +4

Math word problem (MWP) solving faces a dilemma in number representation learning. In order to avoid the number representation issue and reduce the search space of feasible solutio…

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★ 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…