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20132023
most citedPre-Training with Whole Word Masking for Chinese BERT

1.2k citations · 3k across the 72 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.CL2021★ 1 cited

Distilled Dual-Encoder Model for Vision-Language Understanding

Zekun Wang, Wenhui Wang, Haichao Zhu +3

We propose a cross-modal attention distillation framework to train a dual-encoder model for vision-language understanding tasks, such as visual reasoning and visual question answer…

cs.CL2021★ 13 cited

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps

Yibo Sun, Jizhou Huang, Chunyuan Yuan +4

Providing timely accessibility reminders of a point-of-interest (POI) plays a vital role in improving user satisfaction of finding places and making visiting decisions. However, it…

cs.CL2021★ 13 cited

CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision

Zhongyang Li, Xiao Ding, Kuo Liao +2

Recent work has shown success in incorporating pre-trained models like BERT to improve NLP systems. However, existing pre-trained models lack of causal knowledge which prevents tod…

cs.CL2021★ 33 cited

A Survey on Dialogue Summarization: Recent Advances and New Frontiers

Xiachong Feng, Xiaocheng Feng, Bing Qin

Dialogue summarization aims to condense the original dialogue into a shorter version covering salient information, which is a crucial way to reduce dialogue data overload. Recently…

cs.CL2021★ 10 cited

Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization

Xiachong Feng, Xiaocheng Feng, Libo Qin +2

Current dialogue summarization systems usually encode the text with a number of general semantic features (e.g., keywords and topics) to gain more powerful dialogue modeling capabi…

cs.CL2021★ 10 cited

DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension

Jiaqi Li, Ming Liu, Zihao Zheng +4

Multiparty Dialogue Machine Reading Comprehension (MRC) differs from traditional MRC as models must handle the complex dialogue discourse structure, previously unconsidered in trad…