Revisiting Unsupervised Relation Extraction
Thy Thy Tran, Phong Le, Sophia Ananiadou · 2020
Unsupervised relation extraction (URE) extracts relations between named entities from raw text without manually-labelled data and existing knowledge bases (KBs).URE methods can be categorised into generative and discriminative approaches, which rely either on hand-crafted features or surface form.However, we demonstrate that by using only named entities to induce relation types, we can outperform existing methods on two popular datasets.We conduct a comparison and evaluation of our findings with other URE techniques, to ascertain the important features in URE.We conclude that entity types provide a strong inductive bias for URE. 1