The RAGS proposals for generic specification of NLG systems includes a detailed account of data representation, but only an outline view of processing aspects. In this paper we introduce a modular processing architecture with a concrete implementation which aims to meet the RAGS goals of transparency and reusability. We illustrate the model with the RICHES system – a generation system built fro...

Data-driven approaches to sentence compression define the task as dropping any subset of words from the input sentence while retaining important information and grammaticality. We show that only 16% of the observed compressed sentences in the domain of subtitling can be accounted for in this way. We argue that part of this is due to evaluation issues and estimate that a deletion model is in fac...

Statistics students need to develop the capacity to make sense of the staggering amount of information collected in our increasingly data-centered world. In her 2013 book, Rachel Schutt succinctly summarized the challenges she faced as she moved into the workforce: “It was clear to me pretty quickly that the stuff I was working on at Google was different than anything I had learned at school.” ...