Unsupervised Domain Adaption for Neural Information Retrieval

no code implementations • 13 Oct 2023 • Carlos Dominguez, Jon Ander Campos, Eneko Agirre, Gorka Azkune

We focus on the BEIR benchmark, which includes test datasets from several domains with no training data, and explore two scenarios: zero-shot, where the supervised system is trained in a large out-of-domain dataset (MS-MARCO); and unsupervised domain adaptation, where, in addition to MS-MARCO, the system is fine-tuned in synthetic data from the target domain.

Information Retrieval Retrieval +1