FIGER
Fine-Grained Entity Recognition
홈페이지 · 논문 96편
The FIGER dataset is an entity recognition dataset where entities are labelled using fine-grained system 112 tags, such as *person/doctor*, *art/written_work* and *building/hotel*. The tags are derivied from Freebase types. The training set consists of Wikipedia articles automatically annotated with distant supervision approach that utilizes the information encoded in anchor links. The test set was annotated manually. Source: http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5152
Texts English벤치마크
Entity Linking on FIGER
결과 1개
Entity Typing on FIGER
결과 1개