Yixing Fan

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval

2021 · arXiv (Cornell University)

Pre-training and fine-tuning have achieved remarkable success in many downstream natural language processing (NLP) tasks. Recently, pre-training methods tailored for information retrieval (IR) have also been explored, and the latest success is the PROP method …

A Deep Relevance Matching Model for Ad-hoc Retrieval

2016

In recent years, deep neural networks have led to exciting breakthroughs in speech recognition, computer vision, and natural language processing (NLP) tasks. However, there have been few positive results of deep models on ad-hoc retrieval …