CM 2 News Towards a Corpus for Multilingual Multi Document Summarization
This paper describes the ongoing construction of CM2News, a semantic annotated corpus for fostering research on multilingual multidocument summarization. The corpus comprises 20 clusters of news texts in English and Brazilian Portuguese languages and a set of multi document manual and automatic summaries. All the source texts have a layer of semantic annotation at lexical level. Some clusters also have annotation at sentence level, as well as alignment of texts and human summaries. The corpus is a result delivered within the context of the Sustento Project, which aims at generating linguistic knowledge for multi document summarization. The corpus design and the manual annotation tasks are detailed in this paper.