no code implementations • NAACL (BioNLP) 2021 • Yifan He, Mosha Chen, Songfang Huang
Medical question summarization is an important but difficult task, where the input is often complex and erroneous while annotated data is expensive to acquire.
1 code implementation • 29 Dec 2023 • Wei Zhu, Xiaoling Wang, Mosha Chen, Buzhou Tang
Many teams from both the industry and academia participated in the shared tasks, and the top teams achieved amazing test results.
1 code implementation • 22 Oct 2023 • Wei Zhu, Xiaoling Wang, Huanran Zheng, Mosha Chen, Buzhou Tang
Biomedical language understanding benchmarks are the driving forces for artificial intelligence applications with large language model (LLM) back-ends.
1 code implementation • 30 Sep 2022 • Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen
We release all the open resources (OpenBG benchmarks) derived from it for the community and report experimental results of KG-centric tasks.
1 code implementation • 4 Feb 2022 • Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen
Knowledge graph completion aims to address the problem of extending a KG with missing triples.
Ranked #49 on Link Prediction on FB15k-237
no code implementations • 2 Dec 2021 • Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang
Previous works leverage logical forms to facilitate logical knowledge-conditioned text generation.
2 code implementations • ACL 2022 • Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei LI, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen
Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice.
Ranked #1 on Semantic Similarity on CHIP-STS
2 code implementations • 7 Jun 2021 • Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen
Specifically, we leverage an encoder module to capture the context information of entities and a U-shaped segmentation module over the image-style feature map to capture global interdependency among triples.
Ranked #4 on Relation Extraction on GDA
1 code implementation • 31 May 2021 • Dejie Chang, Mosha Chen, Chaozhen Liu, LiPing Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu
In order to accelerate the research for domain-specific knowledge graphs in the medical domain, we introduce DiaKG, a high-quality Chinese dataset for Diabetes knowledge graph, which contains 22, 050 entities and 6, 890 relations in total.
1 code implementation • ACL 2021 • Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen
Most of current methods to ED rely heavily on training instances, and almost ignore the correlation of event types.
1 code implementation • NAACL 2021 • Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao
This work studies NER under a noisy labeled setting with calibrated confidence estimation.
1 code implementation • ICLR 2021 • Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing
We introduce a Poincare probe, a structural probe projecting these embeddings into a Poincare subspace with explicitly defined hierarchies.
1 code implementation • 1 Apr 2021 • Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen, Huajun Chen
Recent neural-based relation extraction approaches, though achieving promising improvement on benchmark datasets, have reported their vulnerability towards adversarial attacks.
no code implementations • 10 Feb 2021 • Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu
Automatic Question Answering (QA) has been successfully applied in various domains such as search engines and chatbots.
1 code implementation • 15 Dec 2020 • Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang
With the TreeCRF we achieve a uniform way to jointly model the observed and the latent nodes.
Ranked #11 on Nested Named Entity Recognition on ACE 2005
1 code implementation • NeurIPS 2020 • Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush
Learning to control the structure of sentences is a challenging problem in text generation.
1 code implementation • EMNLP 2020 • Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang
In the CTRP framework, a model takes a PICO-formatted clinical trial proposal with its background as input and predicts the result, i. e. how the Intervention group compares with the Comparison group in terms of the measured Outcome in the studied Population.
1 code implementation • EMNLP 2020 • Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei zhang, Huajun Chen
We introduce a prototype model and provide an open-source and extensible toolkit called OpenUE for various extraction tasks.
Ranked #3 on Joint Entity and Relation Extraction on WebNLG
no code implementations • 14 Sep 2020 • Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen
In this paper, we revisit the end-to-end triple extraction task for sequence generation.
Ranked #9 on Relation Extraction on WebNLG
no code implementations • SEMEVAL 2018 • Wei Qiu, Mosha Chen, Linlin Li, Luo Si
Hypernym discovery aims to discover the hypernym word sets given a hyponym word and proper corpus.
Ranked #3 on Hypernym Discovery on General