Abstract Evaluation practices in natural language generation (NLG) have many known flaws,
but improved evaluation approaches are rarely widely adopted. This issue has become …

In the last few years, a large number of automatic evaluation metrics have been proposed for
evaluating Natural Language Generation (NLG) systems. The rapid development and …

Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

Automatically constructed datasets for generating text from semi-structured data (tables),
such as WikiBio, often contain reference texts that diverge from the information in the …

Often, the training procedure for statistical machine translation models is based on maximum
likelihood or related criteria. A general problem of this approach is that there is only a loose …

When I planned this book in 1999, it was intended to be a survey of current work in text
summarization. The survey would discuss various efforts in the context of a framework for …

This article offers a survey of computational research on referring expression generation
(REG). It introduces the REG problem and describes early work in this area, discussing what …

Sentence compression holds promise for many applications ranging from summarization to
subtitle generation. Our work views sentence compression as an optimization problem and …

This research aims to contribute to the unexplored field of audience studies with a focus on
the credibility of automated journalism. In this paper, we take a systematic look into the …

We consider the evaluation problem in Natural Language Generation (NLG) and present
results for evaluating several NLG systems with similar functionality, including a knowledge …