1 code implementation • 29 Mar 2024 • Zihao Song, Huaxi Chen, Donghui Quan, Di Li, Yinghui Zheng, Shulei Ni, Yunchuan Chen, Yun Zheng
We introduce a machine learning-based method for extracting HI sources from 3D spectral data, and construct a dedicated dataset of HI sources from CRAFTS.
1 code implementation • ACL 2016 • Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin
Such approaches are time- and memory-intensive because of the large numbers of parameters for word embeddings and the output layer.
no code implementations • COLING 2016 • Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
However, existing neural networks for relation classification are usually of shallow architectures (e. g., one-layer convolutional neural networks or recurrent networks).
Ranked #2 on Relation Classification on SemEval 2010 Task 8
no code implementations • EMNLP 2015 • Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
This paper aims to compare different regularization strategies to address a common phenomenon, severe overfitting, in embedding-based neural networks for NLP.
no code implementations • 15 Aug 2015 • Xu Yan, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin
Relation classification is an important research arena in the field of natural language processing (NLP).
Ranked #4 on Relation Classification on SemEval 2010 Task 8