Using Mined Coreference Chains as a Resource for a Semantic Task
Heike Adel, Hinrich Schütze · 2014
We propose to use coreference chains ex-tracted from a large corpus as a resource for semantic tasks. We extract three mil-lion coreference chains and train word embeddings on them. Then, we com-pare these embeddings to word vectors de-rived from raw text data and show that coreference-based word embeddings im-prove F1 on the task of antonym classifi-cation by up to.09. 1