14 citations · 24 across the 3 of their papers we have counts for
15 papers
Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach
Tong Bao, Yi Zhao, Heng Zhang +1
Scientific named entity recognition (SciNER) plays a crucial role in information extraction and knowledge discovery from scientific texts. Recently, large language models (LLMs) ha…
Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities
Ziling Chen, Chengzhi Zhang, Heng Zhang +3
The composition of author teams is an important factor influencing the novelty of academic papers. However, existing studies have paid limited attention to the role of institutiona…
Unveiling Novelty Evolution in the field of Library and Information Science in China
Chen Yang, Yuzhuo Wang, Chengzhi Zhang
This study analyzes the novelty distribution of scholarly papers in the field of Library and Information Science (LIS) in China, with a focus on differences across journals, resear…
Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science
Qiuyu Fang, Jiayi Hao, Chengzhi Zhang
Research methods are essential carriers of knowledge contribution in academic papers. Automatic multi-label classification of research methods can support knowledge services such a…
Examining the Cognitive Gap Between Authors and Peer Reviewers on Academic Paper Novelty
Chenggang Yang, Chengzhi Zhang
Novelty is a crucial metric for assessing the quality of academic papers. Scholars strive to highlight the novel aspects of their work, particularly in the title, abstract, and int…
Enhancing Research Idea Generation through Combinatorial Innovation and Multi-Agent Iterative Search Strategies
Shuai Chen, Chengzhi Zhang
Scientific progress depends on the continual generation of innovative re-search ideas. However, the rapid growth of scientific literature has greatly increased the cost of knowledg…