Building and Analyzing a Diverse Document Leads Corpus Annotated with Semantic Relations

Abstract

Recently, there have been active studies of semantic analysis in the field of natural language processing. To study semantic analysis, a corpus annotated with semantic relations is required. Although existing corpora annotated with semantic relations have been restricted to newspaper articles, there are texts of various genres and styles containing linguistic expressions that are missing in newspaper articles. In this paper, we define annotation criteria for linguistic phenomena which have not been treated using existing criteria. We have built a diverse document leads corpus annotated with semantic relations. We report the statistics of this corpus.