Scholarly knowledge graphs through structuring scholarly communication: a review
The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …
academic literature and its linkages to authors produce enormously. Information extraction …
Improving access to scientific literature with knowledge graphs
The transfer of knowledge has not changed fundamentally for many hundreds of years: It is
usually document-based-formerly printed on paper as a classic essay and nowadays as …
usually document-based-formerly printed on paper as a classic essay and nowadays as …
Scientometric analysis and classification of research using convolutional neural networks: A case study in data science and analytics
With the increasing development of published literature, classification methods based on
bibliometric information and traditional machine learning approaches encounter …
bibliometric information and traditional machine learning approaches encounter …
Sequential sentence classification in research papers using cross-domain multi-task learning
A Brack, E Entrup, M Stamatakis… - International Journal on …, 2024 - Springer
The automatic semantic structuring of scientific text allows for more efficient reading of
research articles and is an important indexing step for academic search engines. Sequential …
research articles and is an important indexing step for academic search engines. Sequential …
SsciBERT: A pre-trained language model for social science texts
The academic literature of social sciences records human civilization and studies human
social problems. With its large-scale growth, the ways to quickly find existing research on …
social problems. With its large-scale growth, the ways to quickly find existing research on …
The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings
M Färber, L Ao - Quantitative Science Studies, 2022 - direct.mit.edu
Although several large knowledge graphs have been proposed in the scholarly field, such
graphs are limited with respect to several data quality dimensions such as accuracy and …
graphs are limited with respect to several data quality dimensions such as accuracy and …
Expressing high-level scientific claims with formal semantics
The use of semantic technologies is gaining significant traction in science communication
with a wide array of applications in disciplines including the life sciences, computer science …
with a wide array of applications in disciplines including the life sciences, computer science …
The STEM-ECR dataset: grounding scientific entity references in STEM scholarly content to authoritative encyclopedic and lexicographic sources
We introduce the STEM (Science, Technology, Engineering, and Medicine) Dataset for
Scientific Entity Extraction, Classification, and Resolution, version 1.0 (STEM-ECR v1. 0) …
Scientific Entity Extraction, Classification, and Resolution, version 1.0 (STEM-ECR v1. 0) …
[PDF][PDF] 基于ChatGPT 的多视角学术论文实体识别: 性能测评与可用性研究
张颖怡， 章成志， 周毅， 陈必坤 - 数据分析与知识发现, 2023 - manu44.magtech.com.cn
[目的] 分析基于大规模语言模型的提示学习方法在学术论文实体识别任务上的可用性.[方法]
以ChatGPT 这一大规模语言模型为例, 将ChatGPT 视为实体识别工具, 伪标签生成工具以及 …
以ChatGPT 这一大规模语言模型为例, 将ChatGPT 视为实体识别工具, 伪标签生成工具以及 …
Automated mining of leaderboards for empirical ai research
With the rapid growth of research publications, empowering scientists to keep an oversight
over scientific progress is of paramount importance. In this regard, the leaderboards facet of …
over scientific progress is of paramount importance. In this regard, the leaderboards facet of …