Empirical Methods in Natural Language Generation

Text-to-Text Generation.- Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generation.- Spanning Tree Approaches for Statistical Sentence Generation.- On the Limits of Sentence Compression by Deletion.- NLG in Interaction.- Learning Adaptive Referring Expression Generation Policies for Spoken Dialogue Systems.- Modelling and Evaluation of Lexical and Syntactic Alignment with a Priming-Based Microplanner.- Natural Language Generation as Planning under Uncertainty for Spoken Dialogue Systems.- Referring Expression Generation.- Generating Approximate Geographic Descriptions.- A Flexible Approach to Class-Based Ordering of Prenominal Modifiers.- Attribute-Centric Referring Expression Generation.- Evaluation of NLG.- Assessing the Trade-Off between System Building Cost and Output Quality in Data-to-Text Generation.- Human Evaluation of a German Surface Realisation Ranker.- Structural Features for Predicting the Linguistic Quality of Text.- Towards Empirical Evaluation of Affective Tactical NLG.- Shared Task Challenges for NLG.- Introducing Shared Tasks to NLG: The TUNA Shared Task Evaluation Challenges.- Generating Referring Expressions in Context: The GREC Task Evaluation Challenges.- The First Challenge on Generating Instructions in Virtual Environments.