Abstract
In Japanese, zero references often occur and many of them are categorized into zero exophora, in which a referent is not mentioned in the document. However, previous studies have focused only on zero endophora, in which a referent explicitly appears. We present a zero reference resolution model considering zero exophora and authors/readers of a document. To deal with zero exophora, our model adds pseudo-entities corresponding to zero exophora to candidate referents of zero pronouns. In addition, the model automatically detects mentions that refer to the author and reader of a document using lexico-syntactic patterns. We present particular behavior of authors/readers in a discourse as a feature vector of a machine learning model. The experimental results demonstrate the effectiveness of our model for not only zero exophora but also zero endophora.
