activity
20192022
most citedFine-tune Bert for DocRED with Two-step Process

116 citations · 179 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL20216 cited

Lifelong Learning of Hate Speech Classification on Social Media

Jing Qian, Hong Wang, Mai ElSherief +1

Existing work on automated hate speech classification assumes that the dataset is fixed and the classes are pre-defined. However, the amount of data in social media increases every…

cs.CL2020

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering

Wenhan Xiong, Hong Wang, William Yang Wang

To extract answers from a large corpus, open-domain question answering (QA) systems usually rely on information retrieval (IR) techniques to narrow the search space. Standard inver…

cs.CL20191 cited

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering

Wenhan Xiong, Mo Yu, Xiaoxiao Guo +4

A key challenge of multi-hop question answering (QA) in the open-domain setting is to accurately retrieve the supporting passages from a large corpus. Existing work on open-domain…

cs.CL2019116 cited

Fine-tune Bert for DocRED with Two-step Process

Hong Wang, Christfried Focke, Rob Sylvester +2

Modelling relations between multiple entities has attracted increasing attention recently, and a new dataset called DocRED has been collected in order to accelerate the research on…

cs.CL2019

TabFact: A Large-scale Dataset for Table-based Fact Verification

Wenhu Chen, Hongmin Wang, Jianshu Chen +5

The problem of verifying whether a textual hypothesis holds based on the given evidence, also known as fact verification, plays an important role in the study of natural language u…

cs.CL2019

Meta Reasoning over Knowledge Graphs

Hong Wang, Wenhan Xiong, Mo Yu +3

The ability to reason over learned knowledge is an innate ability for humans and humans can easily master new reasoning rules with only a few demonstrations. While most existing st…