sebastian-hofstaetter/tripclick-training

TripClick Baselines with Improved Training Data Establishing Strong Baselines for TripClick Health Retrieval Sebastian Hofstätter, Sophia Althammer, Mete Sertkan and Allan Hanbury https://arxiv.org/abs/2201.00365 tl;dr We create strong re-ranking and dense retrieval baselines (BERTCAT, BERTDOT, ColBERT, and TK) for TripClick (health ad-hoc retrieval). We improve the – originally too noisy – training data with a simple negative sampling policy. We achieve large gains over BM25 in… See the full description on the dataset page: https://huggingface.co/datasets/sebastian-hofstaetter/tripclick-training.