Syntactic Dependencies and DistributedWord Representations for C...

Distributed word representations capture relational similarities by means of vector arithmetics, giving high accuracies on analogy detection. We empirically investigate the use of syntactic dependencies on improving Chinese analogy detection based on distributed word representations, showing that a dependency-based embeddings does not perform better than an ngram-based embeddings, but dependency structures can be used to improve analogy detection by filtering candidates. In addition, we show tha