Table of Contents

• Talking about what is not there: Generating indefinite referring expressions in MinecraftArne Köhn, Alexander Koller. 1-10 [doi]
• Generating Quantified Referring Expressions with Perceptual Cost PruningGordon Briggs, Hillary Harner. 11-18 [doi]
• A case study on context-bound referring expression generationMaurice Langner. 19-23 [doi]
• Rethinking Text Attribute Transfer: A Lexical AnalysisYao Fu, Hao Zhou, Jiaze Chen, Lei Li. 24-33 [doi]
• Choosing between Long and Short Word Forms in MandarinLin Li, Kees van Deemter, Denis Paperno, Jingyu Fan. 34-39 [doi]
• Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing AssistanceTakumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui. 40-53 [doi]
• Computational Argumentation Synthesis as a Language Modeling TaskRoxanne El Baff, Henning Wachsmuth, Khalid Al Khatib, Manfred Stede, Benno Stein 0001. 54-64 [doi]
• Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation EvaluatorsSanghyun Yi, Rahul Goel, Chandra Khatri, Alessandra Cervone, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tür. 65-75 [doi]
• Importance of Search and Evaluation Strategies in Neural Dialogue ModelingIlia Kulikov, Alexander H. Miller, KyungHyun Cho, Jason Weston. 76-87 [doi]
• Towards Best Experiment Design for Evaluating Dialogue System OutputSashank Santhanam, Samira Shaikh. 88-94 [doi]
• A Tree-to-Sequence Model for Neural NLG in Task-Oriented DialogJinfeng Rao, Kartikeya Upasani, Anusha Balakrishnan, Michael White, Anuj Kumar, Rajen Subba. 95-100 [doi]
• Multiple News Headlines Generation using Page MetadataKango Iwama, Yoshinobu Kano. 101-105 [doi]
• Neural Question Generation using Interrogative PhrasesYuichi Sasazawa, Sho Takase, Naoaki Okazaki. 106-111 [doi]
• Generating Text from Anonymised StructuresEmilie Colin, Claire Gardent. 112-117 [doi]
• MinWikiSplit: A Sentence Splitting Corpus with Minimal PropositionsChristina Niklaus, André Freitas, Siegfried Handschuh. 118-123 [doi]
• QTUNA: A Corpus for Understanding How Speakers Use QuantificationGuanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin. 124-129 [doi]
• KPTimes: A Large-Scale Dataset for Keyphrase Generation on News DocumentsYgor Gallina, Florian Boudin, Béatrice Daille. 130-135 [doi]
• Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and DrawingsTing Han, Sina Zarrieß. 136-140 [doi]
• An Encoder with non-Sequential Dependency for Neural Data-to-Text GenerationFeng Nie, Jinpeng Wang, Rong Pan, Chin-Yew Lin. 141-146 [doi]
• On Leveraging the Visual Modality for Neural Machine TranslationVikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze. 147-151 [doi]
• Tell Me More: A Dataset of Visual Scene Description SequencesNikolai Ilinykh, Sina Zarrieß, David Schlangen. 152-157 [doi]
• A Closer Look at Recent Results of Verb Selection for Data-to-Text NLGGuanyi Chen, Jin-ge Yao. 158-163 [doi]
• ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain ConversationJuraj Juraska, Kevin Bowden, Marilyn A. Walker. 164-172 [doi]
• BERT for Question GenerationYing-Hong Chan, Yao-Chung Fan. 173-177 [doi]
• Visually grounded generation of entailments from premisesSomayeh Jafaritazehjani, Albert Gatt, Marc Tanti. 178-188 [doi]
• Detecting Machine-Translated Text using Back TranslationHoang-Quoc Nguyen-Son, Tran Thao Phuong, Seira Hidano, Shinsaku Kiyomoto. 189-197 [doi]
• Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label-aware ObjectiveSeiya Kawano, Koichiro Yoshino, Satoshi Nakamura 0001. 198-207 [doi]
• Low Level Linguistic Controls for Style Transfer and Content PreservationKaty Ilonka Gero, Chris Kedzie, Jonathan Reeve, Lydia B. Chilton. 208-218 [doi]
• Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine TranslationAlberto Poncelas, Andy Way. 219-228 [doi]
• Efficiency Metrics for Data-Driven Models: A Text Summarization Case StudyErion Çano, Ondrej Bojar. 229-239 [doi]
• An NLG System for Constituent Correspondence: Personality, Affect, and AlignmentWilliam Kolkey, Jian Dong, Greg Bybee. 240-243 [doi]
• Margin Call: an Accessible Web-based Text Viewer with Generated Paragraph Summaries in the MarginNabah Rizvi, Sebastian Gehrmann, Franck Dernoncourt. 244-246 [doi]
• Privacy-Aware Text RewritingQiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui. 247-257 [doi]
• Personalized Substitution Ranking for Lexical SimplificationJohn Lee 0001, Chak Yan Yeung. 258-267 [doi]
• Revisiting the Binary Linearization Technique for Surface RealizationYevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych. 268-278 [doi]
• Head-First Linearization with Tree-Structured RepresentationXiang Yu, Agnieszka Falenska, Ngoc Thang Vu, Jonas Kuhn. 279-289 [doi]
• Let's FACE it. Finnish Poetry Generation with Aesthetics and FramingMika Hämäläinen, Khalid Al-Najjar. 290-300 [doi]
• Generation of Hip-Hop Lyrics with Hierarchical Modeling and Conditional TemplatesEnrique Manjavacas, Mike Kestemont, Folgert Karsdorp. 301-310 [doi]
• Revisiting Challenges in Data-to-Text Generation with Fact GroundingHongmin Wang. 311-322 [doi]
• Controlling Contents in Data-to-Document Generation with Human-Designed Topic LabelsKasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao. 323-332 [doi]
• A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model EvaluationYuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura. 333-343 [doi]
• Agreement is overrated: A plea for correlation to assess human evaluation reliabilityJacopo Amidei, Paul Piwek, Alistair Willis. 344-354 [doi]
• Best practices for the human evaluation of automatically generated textChris van der Lee, Albert Gatt, Emiel van Miltenburg, Sander Wubben, Emiel Krahmer. 355-368 [doi]
• Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)Ondrej Dusek, Karin Sevegnani, Ioannis Konstas, Verena Rieser. 369-376 [doi]
• Improving Quality and Efficiency in Plan-based Neural Data-to-text GenerationAmit Moryossef, Yoav Goldberg, Ido Dagan. 377-382 [doi]
• Toward a Better Story End: Collecting Human Evaluation with ReasonsYusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada. 383-390 [doi]
• Hotel Scribe: Generating High Variation Hotel DescriptionsSaad Mahamood, Maciej Zembrzuski. 391-396 [doi]
• The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendationsJacopo Amidei, Paul Piwek, Alistair Willis. 397-402 [doi]
• On task effects in NLG corpus elicitation: a replication study using mixed effects modelingEmiel van Miltenburg, Merel van de Kerkhof, Ruud Koolen, Martijn Goudbeek, Emiel Krahmer. 403-408 [doi]
• Procedural Text Generation from a Photo SequenceTaichi Nishimura, Atsushi Hashimoto, Shinsuke Mori. 409-414 [doi]
• SimpleNLG-DE: Adapting SimpleNLG 4 to GermanDaniel Braun 0003, Kira Klimt, Daniela Schneider, Florian Matthes. 415-420 [doi]
• Semantic Noise Matters for Neural Natural Language GenerationOndrej Dusek, David M. Howcroft, Verena Rieser. 421-426 [doi]
• Can Neural Image Captioning be Controlled via Forced Attention?Philipp Sadler, Tatjana Scheffler, David Schlangen. 427-431 [doi]
• Towards a Metric for Automated Conversational Dialogue System Evaluation and ImprovementJan Milan Deriu, Mark Cieliebak. 432-437 [doi]
• Generating Paraphrases with Lean VocabularyTadashi Nomoto. 438-442 [doi]
• A Personalized Data-to-Text Support Tool for Cancer PatientsSaar Hommes, Chris van der Lee, Felix Clouth, Jeroen Vermunt, Xander Verbeek, Emiel Krahmer. 443-452 [doi]
• Natural Language Generation at Scale: A Case Study for Open Domain Question AnsweringAlessandra Cervone, Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Anu Venkatesh, Dilek Hakkani-Tür, Raefer Gabriel. 453-462 [doi]
• Using NLG for speech synthesis of mathematical sentencesAlessandro Mazzei, Michele Monticone, Cristian Bernareggi. 463-472 [doi]
• Teaching FORGe to Verbalize DBpedia Properties in SpanishSimon Mille, Stamatia Dasiopoulou, Beatríz Fisas, Leo Wanner. 473-483 [doi]
• Generating justifications for norm-related agent decisionsDaniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz. 484-493 [doi]
• Towards Generating Math Word Problems from Equations and TopicsQingyu Zhou, Danqing Huang. 494-503 [doi]
• DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and GermanChristina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh. 504-507 [doi]
• Real World Voice Assistant System for CookingTakahiko Ito, Shintaro Inuzuka, Yoshiaki Yamada, Jun Harashima. 508-509 [doi]
• VAE-PGN based Abstractive Model in Multi-stage Architecture for Text SummarizationHyungtak Choi, Lohith Ravuru, Tomasz Dryjanski, Sunghan Rye, Donghyun Lee, Hojung Lee, Inchul Hwang. 510-515 [doi]
• Generating Abstractive Summaries with Finetuned Language ModelsSebastian Gehrmann, Zachary M. Ziegler, Alexander M. Rush. 516-522 [doi]
• Towards Summarization for Social Media - Results of the TL;DR ChallengeShahbaz Syed, Michael Völske, Nedim Lipka, Benno Stein 0001, Hinrich Schütze, Martin Potthast. 523-528 [doi]
• Generating Quantified Descriptions of Abstract Visual ScenesGuanyi Chen, Kees van Deemter, Chenghua Lin. 529-539 [doi]
• What goes into a word: generating image descriptions with top-down spatial knowledgeMehdi Ghanimifard, Simon Dobnik. 540-551 [doi]
• Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding ModelsRaheel Qader, François Portet, Cyril Labbé. 552-562 [doi]
• Neural Generation for Czech: Data and BaselinesOndrej Dusek, Filip Jurcícek. 563-574 [doi]
• Modeling Confidence in Sequence-to-Sequence ModelsJan Niehues, Ngoc-Quan Pham. 575-583 [doi]
• A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation ModelsChris Kedzie, Kathleen R. McKeown. 584-593 [doi]
• A Stable Variational Autoencoder for Text ModellingRuizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao. 594-599 [doi]