Multi-Instance Active Learning for Relation Extraction

Achieving high-accuracy relation extraction usually requires a large well-annotated corpus for model training, which is extremely time-consuming and labor-intensive. Consequently, distant supervision, implemented as a multi-instance learning paradigm, was proposed to build models from bags using aut... View More