13 citations · 15 across the 6 of their papers we have counts for
4 papers · 1 filter
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
Peijie Jiang, Dingkun Long, Yanzhao Zhang +3
Boundary information is critical for various Chinese language processing tasks, such as word segmentation, part-of-speech tagging, and named entity recognition. Previous studies us…
Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval
Dingkun Long, Yanzhao Zhang, Guangwei Xu +1
Pre-trained language model (PTM) has been shown to yield powerful text representations for dense passage retrieval task. The Masked Language Modeling (MLM) is a major sub-task of t…
Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference
Haoyu Zhang, Dingkun Long, Guangwei Xu +3
Keyphrase extraction (KE) aims to summarize a set of phrases that accurately express a concept or a topic covered in a given document. Recently, Sequence-to-Sequence (Seq2Seq) base…
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Ning Ding, Dingkun Long, Guangwei Xu +4
Fully supervised neural approaches have achieved significant progress in the task of Chinese word segmentation (CWS). Nevertheless, the performance of supervised models tends to dr…