Sentence Ordering for Opinion Generation of Debate in terms of Distributed Representations

Abstract

We proposed a sentence ordering method which is designed for debate opinion gener- ation. The opinions in debate are required to be coherent and logically structured. Our proposed method employs a machine learning approach with two kinds of features which examine the co- herency and the structure of opinions. The rst feature measures similarities between sentences, and second feature represents roles of sentences. In order to measure sentence similarities exibly, we used Paragraph Vector (PV) which is an implementation of distributed representations. We con- rmed effectiveness of PV based ordering method by comparing with Bag-of-Words based method. The experimental results show that PV based method improves accuracy of major c