Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond
TL;DR通过任务特定的 embedding，显式地建模因果关系可以有效地提高问题回答系统的性能。
Abstract
A common model for question answering (QA) is that a good answer is one that
is closely related to the question, where relatedness is often determined using
general-purpose lexical models such as word embeddings. We argue that a better
approach is to look for answers that are related t