arXiv:2010.15924
공식 코드 · Papers with Code
How Many Pages? Paper Length Prediction from the Metadata
원문 초록
Being able to predict the length of a scientific paper may be helpful in numerous situations. This work defines the paper length prediction task as a regression problem and reports several experimental results using popular machine learning models. We also create a huge dataset of publication metadata and the respective lengths in number of pages. The dataset will be freely available and is intended to foster research in this domain. As future work, we would like to explore more advanced regressors based on neural networks and big pretrained language models.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Nearness of Neighbors Attention for Regression in Supervised Finetuning
Optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas
Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction
Gaussian Process Regression With Interpretable Sample-Wise Feature Weights
A Machine Learning Approach for Employee Retention Prediction
Prediction of Chronic Kidney Disease - A Machine Learning Perspective
토론
이 논문과 연결된 포럼 글이 아직 없습니다.