Using causality as a use case, we answer this question with a framework for producing causal word embeddings with minimal supervision, and a demonstration that such taskspecific embeddings significantly benefit causal QA.
the contributions of this work are: (1) A methodology for generating causal embeddings cost-effectively by bootstrapping cause-effect pairs extracted from free text using a small set of seed patterns, e.g., X causes Y.