Abstract
This paper describes improvements made to the entity grid local coherence model for Japanese text. We investigate the effectiveness of taking into account cohesive devices, such as conjunction, explicit reference relation, lexical cohesion, and refining syntactic roles for a topic marker in Japanese. To take into account lexical cohesion, we consider lexical chaining. Through the experiments on discrimination where the system has to select the more coherent sentence ordering, and comparison of the system’s ranking of automatically created summaries against human judgment based on quality questions, we show that these factors contribute to improve the performance of the entity grid model.
