Towards Multilingual Natural Language Generation Within Abstractive Summarization

We present work in progress that tackles the problem of multilingual text summarization using semantic representations. As opposed to extractive summarization, in which text fragments are selected and a summary is assembled from them, our abstractive summarizer is based on abstract linguistic structures obtained from an analysis pipeline of disambiguation, syntactic and semantic parsing tools. The resulting structures are stored in a semantic repository, from which a text planning component produces content plans that go through a multilingual generation pipeline that eventually returns text in English, Spanish, French and/or German. We focuse on the multilingual generation part of the problem.