AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding

1 code implementation • EMNLP 2016 • Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han

Entity Typing Named Entity Recognition (NER) +2

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

2 code implementations • 27 Oct 2016 • Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han

We propose a novel domain-independent framework, called CoType, that runs a data-driven text segmentation algorithm to extract entity mentions, and jointly embeds entity mentions, relation mentions, text features and type labels into two low-dimensional spaces (for entity and relation mentions respectively), where, in each space, objects whose types are close will also have similar representations.

Joint Entity and Relation Extraction Relation +1

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

3 code implementations • 17 Feb 2016 • Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han

Current systems of fine-grained entity typing use distant supervision in conjunction with existing knowledge bases to assign categories (type labels) to entity mentions.

Entity Typing Semantic Similarity +2