92 citations · 124 across the 8 of their papers we have counts for
8 papers
Inspire the Large Language Model by External Knowledge on BioMedical Named Entity Recognition
Junyi Bian, Jiaxuan Zheng, Yuyi Zhang +1
Large language models (LLMs) have demonstrated dominating performance in many NLP tasks, especially on generative tasks. However, they often fall short in some information extracti…
DMNER: Biomedical Entity Recognition by Detection and Matching
Junyi Bian, Rongze Jiang, Weiqi Zhai +3
Biomedical named entity recognition (BNER) serves as the foundation for numerous biomedical text mining tasks. Unlike general NER, BNER require a comprehensive grasp of the domain,…
GoSum: Extractive Summarization of Long Documents by Reinforcement Learning and Graph Organized discourse state
Junyi Bian, Xiaodi Huang, Hong Zhou +1
Extracting summaries from long documents can be regarded as sentence classification using the structural information of the documents. How to use such structural information to sum…
THCluster: herb supplements categorization for precision traditional Chinese medicine
Chunyang Ruan, Ye Wang, Yanchun Zhang +5
There has been a continuing demand for traditional and complementary medicine worldwide. A fundamental and important topic in Traditional Chinese Medicine (TCM) is to optimize the…
HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification
Ronghui You, Zihan Zhang, Suyang Dai +1
Extreme multi-label text classification (XMTC) addresses the problem of tagging each text with the most relevant labels from an extreme-scale label set. Traditional methods use bag…
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Ronghui You, Zihan Zhang, Ziye Wang +3
Extreme multi-label text classification (XMTC) is an important problem in the era of big data, for tagging a given text with the most relevant multiple labels from an extremely lar…
Design Issues of JPQ: a Pattern-based Query Language for Document Databases
Xuhui Li, Mengchi Liu, Xiaoying Wu +1
Document databases are becoming popular, but how to present complex document query to obtain useful information from the document remains an important topic to study. In this paper…
XTQ: A Declarative Functional XML Query Language
Xuhui Li, Mengchi Liu, Shanfeng Zhu +1
Various query languages have been proposed to extract and restructure information in XML documents. These languages, usually claiming to be declarative, mainly consider the conjunc…