Dense Phrase Retrieval

Dense phrase retrieval focuses on efficiently finding specific phrases within large text corpora using dense vector representations. Current research emphasizes improving retrieval accuracy by exploring various contextualized word embeddings, multi-task learning frameworks incorporating contrastive learning and other objectives, and ensemble methods that leverage different phrase lengths and confidence scores. These advancements aim to bridge the gap between training and inference, leading to more robust and effective retrieval systems with applications in question answering, machine translation, and other NLP tasks.