Abstract
We present a knowledge-rich approach to Japanese coreference resolution. In Japanese, noun phrase coreference occupies a central position in coreference relations. To improve coreference resolution for such language, wide-coverage knowledge of synonyms is required. We first acquire knowledge of synonyms from large raw corpus and dictionary definition sentences, and then resolve coreference relations based on the knowledge. Furthermore, to boost the performance of coreference resolution, we integrate bridging reference resolution system that uses automatically constructed nominal case frames into coreference resolver. We evaluated our approach on news paper article and WEB corpus and confirmed that the performance of coreference resolution is improved by using automatically acquired synonyms and bridging reference resolution.
