Building a Diverse Document Leads Corpus Annotated with Semantic Relations

In these days, semantic analysis has been actively studied in natural language processing. For the study of semantic analysis, corpora with semantic annotations are essential. Although there are such corpora annotated on newspaper articles, there are various genres and styles, including linguistic expressions that are not found in newspaper articles. In this paper, we build a diverse document leads corpus annotated with semantic relations. To reduce the workload of annotators and annotate as many various documents as possible, we restrict the annotation target of each document to only the first three sentences. We have completed building a corpus of 1,000 documents and report the statistics of this corpus.