Shaowei Chen
Nankai University
14 Papers
9 Citations
Shaowei Chen is an academic researcher from Nankai University. The author has contributed to research in topics: Computer science & Task (project management). The author has an hindex of 4, co-authored 8 publications.
Chat about Author
Papers
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction.
Shaowei Chen,Jie Liu,Yu Wang,Wenzheng Zhang,Ziming Chi +4 more
- 01 Jul 2020
TL;DR: This paper proposes Synchronous Double-channel Recurrent Network (SDRN) mainly consisting of an opinion entity extraction unit, a relation detection unit, and a synchronization unit to deal with Aspect-Opinion Pair Extraction (AOPE) task, which aims at extracting aspects and opinion expressions in pairs.
•Posted Content
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
TL;DR: Wang et al. as mentioned in this paper proposed a bidirectional machine reading comprehension (BMRC) framework for aspect sentiment triplet extraction, which sequentially recognizes aspects, opinion expressions, and sentiments to obtain triplets, while the other direction identifies opinion expressions first, then aspects, and at last sentiments.
135
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction.
Jie Liu,Shaowei Chen,Bingquan Wang,Jiaxin Zhang,Na Li,Tong Xu +5 more
- 09 Jul 2020
TL;DR: An attention-based joint model, which mainly contains an entity extraction module and a relation detection module, to address the challenges of identifying the overlapping relation triplets along with the entire entity boundary and detecting the multi-type relations.
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
Shaowei Chen,Bingquan Wang,Jiaxin Zhang,Na Li,Tong Xu +4 more
- 01 Jul 2020
TL;DR: An attention-based joint model, which mainly contains an entity extraction module and a relation detection module, to address the challenges of identifying the overlapping relation triplets along with the entire entity boundary and detecting the multi-type relations.
38
Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction
Jie Liu,Shaowei Chen,Zhicheng He,Huipeng Chen +3 more
- 26 Aug 2018
TL;DR: A novel attribute embedding based MC-BLSTM-CRF model, which is constructed to learn the relations between multiple attributes automatically and flexibly and evaluates the state-of-the-art performance on a Chinese medical dataset.
6