Search Results for author:
Found 4 papers, 3 papers with code
Research on CPI Prediction Based on Natural Language Processing
In this paper, we design a keyword expansion technique for CPI prediction based on the cutting-edge NLP model, PANGU.
Stock Price Prediction Based on Natural Language Processing
The keywords used in traditional stock price prediction are mainly based on literature and experience.
CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
In this paper, we propose CODE, which first pre-trains an expert linking model by contrastive learning on AMiner such that it can capture the representation and matching patterns of experts without supervised signals, then it is fine-tuned between AMiner and external sources to enhance the models transferability in an adversarial manner.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
