activity
20152022
most citedAn Experimental Study of LSTM Encoder-Decoder Model for Text Simplification

35 citations · 74 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2022★ 3 cited

Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning

Wenbin An, Feng Tian, Ping Chen +3

Novel category discovery aims at adapting models trained on known categories to novel categories. Previous works only focus on the scenario where known and novel categories are of…

cs.CL2021★ 1 cited

Annotation of Chinese Predicate Heads and Relevant Elements

Yanping Chen, Wenfan Jin, Yongbin Qin +3

A predicate head is a verbal expression that plays a role as the structural center of a sentence. Identifying predicate heads is critical to understanding a sentence. It plays the…

cs.CL2020

Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text

Zhaoheng Gong, Ping Chen, Jiang Zhou

Named entity recognition is a challenging task in Natural Language Processing, especially for informal and noisy social media text. Chinese word boundaries are also entity boundari…

cs.LG2020

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance

Matthew Almeida, Wei Ding, Scott Crouter +1

The study of model bias and variance with respect to decision boundaries is critically important in supervised classification. There is generally a tradeoff between the two, as fin…

cs.CL2017★ 7 cited

Predicting the Quality of Short Narratives from Social Media

Tong Wang, Ping Chen, Boyang Li

An important and difficult challenge in building computational models for narratives is the automatic evaluation of narrative quality. Quality evaluation connects narrative underst…

cs.LG2017

Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation

Kevin M. Amaral, Ping Chen, Scott Crouter +1

Accelerometer measurements are the prime type of sensor information most think of when seeking to measure physical activity. On the market, there are many fitness measuring devices…