activity
20192022
most citedDomain-Specific NER via Retrieving Correlated Samples

9 citations · 19 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CL2022

Improving Simultaneous Machine Translation with Monolingual Data

Hexuan Deng, Liang Ding, Xuebo Liu +3

Simultaneous machine translation (SiMT) is usually done via sequence-level knowledge distillation (Seq-KD) from a full-sentence neural machine translation (NMT) model. However, the…

cs.CL2022

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…

cs.CV20221 cited

Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation

Yu Zhao, Jianguo Wei, Zhichao Lin +3

Image-to-text tasks, such as open-ended image captioning and controllable image description, have received extensive attention for decades. Here, we further advance this line of wo…

cs.CL2022

Extending Phrase Grounding with Pronouns in Visual Dialogues

Panzhong Lu, Xin Zhang, Meishan Zhang +1

Conventional phrase grounding aims to localize noun phrases mentioned in a given caption to their corresponding image regions, which has achieved great success recently. Apparently…

cs.CL2022

Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph

Hao Fei, Shengqiong Wu, Meishan Zhang +2

Conversational semantic role labeling (CSRL) is a newly proposed task that uncovers the shallow semantic structures in a dialogue text. Unfortunately several important characterist…

cs.CL20229 cited

Domain-Specific NER via Retrieving Correlated Samples

Xin Zhang, Yong Jiang, Xiaobin Wang +4

Successful Machine Learning based Named Entity Recognition models could fail on texts from some special domains, for instance, Chinese addresses and e-commerce titles, where requir…