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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 2019Show all

10 papers · 1 filter

cs.CL2019

An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension

Jiaqi Li, Ming Liu, Bing Qin +2

In this paper, we propose the scheme for annotating large-scale multi-party chat dialogues for discourse parsing and machine comprehension. The main goal of this project is to help…

cs.CL2019★ 3 cited

Transforming Wikipedia into Augmented Data for Query-Focused Summarization

Haichao Zhu, Li Dong, Furu Wei +2

The limited size of existing query-focused summarization datasets renders training data-driven summarization models challenging. Meanwhile, the manual construction of a query-focus…

cs.CL2019★ 6 cited

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning

Yibo Sun, Duyu Tang, Nan Duan +4

Neural semantic parsing has achieved impressive results in recent years, yet its success relies on the availability of large amounts of supervised data. Our goal is to learn a neur…

cs.CL2019★ 4 cited

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)

Heng Gong, Xiaocheng Feng, Bing Qin +1

Although Seq2Seq models for table-to-text generation have achieved remarkable progress, modeling table representation in one dimension is inadequate. This is because (1) the table…

cs.CL2019★ 46 cited

Cross-Lingual Machine Reading Comprehension

Yiming Cui, Wanxiang Che, Ting Liu +3

Though the community has made great progress on Machine Reading Comprehension (MRC) task, most of the previous works are solving English-based MRC problems, and there are few effor…

cs.CL2019★ 1 cited

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements

Tianwen Jiang, Tong Zhao, Bing Qin +3

Conditions are essential in the statements of biological literature. Without the conditions (e.g., environment, equipment) that were precisely specified, the facts (e.g., observati…