  Analogical reasoning is effective in capturing linguistic regularities. This
paper proposes an analogical reasoning task on Chinese. After delving into
Chinese lexical knowledge, we sketch 68 implicit morphological relations and 28
explicit semantic relations. A big and balanced dataset CA8 is then built for
this task, including 17813 questions. Furthermore, we systematically explore
the influences of vector representations, context features, and corpora on
analogical reasoning. With the experiments, CA8 is proved to be a reliable
benchmark for evaluating Chinese word embeddings.
