activity
20192023
most citedFine-tune Bert for DocRED with Two-step Process

116 citations · 190 across the 9 of their papers we have counts for

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Showing 2019 · cs.CLShow all

7 papers · 2 filters

cs.CL2019★ 1 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.CL2019★ 116 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…

cs.CL2019★ 3 cited

TWEETQA: A Social Media Focused Question Answering Dataset

Wenhan Xiong, Jiawei Wu, Hong Wang +5

With social media becoming increasingly pop-ular on which lots of news and real-time eventsare reported, developing automated questionanswering systems is critical to the effective…

cs.CL2019★ 6 cited

Self-Supervised Learning for Contextualized Extractive Summarization

Hong Wang, Xin Wang, Wenhan Xiong +4

Existing models for extractive summarization are usually trained from scratch with a cross-entropy loss, which does not explicitly capture the global context at the document level.…