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ORCIDINLG 2019: Tokyo, Japan
- Kees van Deemter, Chenghua Lin, Hiroya Takamura:
Proceedings of the 12th International Conference on Natural Language Generation, INLG 2019, Tokyo, Japan, October 29 - November 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-94-9 - Arne Köhn, Alexander Koller:
Talking about what is not there: Generating indefinite referring expressions in Minecraft. 1-10 - Gordon Briggs, Hillary Harner:
Generating Quantified Referring Expressions with Perceptual Cost Pruning. 11-18 - Maurice Langner:
A case study on context-bound referring expression generation. 19-23 - Yao Fu, Hao Zhou, Jiaze Chen
, Lei Li:
Rethinking Text Attribute Transfer: A Lexical Analysis. 24-33 - Lin Li, Kees van Deemter, Denis Paperno, Jingyu Fan:
Choosing between Long and Short Word Forms in Mandarin. 34-39 - Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. 40-53 - Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib, Manfred Stede, Benno Stein:
Computational Argumentation Synthesis as a Language Modeling Task. 54-64 - Sanghyun Yi, Rahul Goel, Chandra Khatri, Alessandra Cervone, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tür:
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators. 65-75 - Ilia Kulikov, Alexander H. Miller, Kyunghyun Cho, Jason Weston:
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling. 76-87 - Sashank Santhanam, Samira Shaikh:
Towards Best Experiment Design for Evaluating Dialogue System Output. 88-94 - Jinfeng Rao, Kartikeya Upasani, Anusha Balakrishnan, Michael White, Anuj Kumar, Rajen Subba:
A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog. 95-100 - Kango Iwama, Yoshinobu Kano:
Multiple News Headlines Generation using Page Metadata. 101-105 - Yuichi Sasazawa, Sho Takase, Naoaki Okazaki:
Neural Question Generation using Interrogative Phrases. 106-111 - Émilie Colin, Claire Gardent:
Generating Text from Anonymised Structures. 112-117 - Christina Niklaus, André Freitas, Siegfried Handschuh:
MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions. 118-123 - Guanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin:
QTUNA: A Corpus for Understanding How Speakers Use Quantification. 124-129 - Ygor Gallina, Florian Boudin, Béatrice Daille:
KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents. 130-135 - Ting Han, Sina Zarrieß:
Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings. 136-140 - Feng Nie, Jinpeng Wang, Rong Pan, Chin-Yew Lin:
An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation. 141-146 - Vikas Raunak, Sang Keun Choe, Quanyang Lu, Yi Xu, Florian Metze:
On Leveraging the Visual Modality for Neural Machine Translation. 147-151 - Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
Tell Me More: A Dataset of Visual Scene Description Sequences. 152-157 - Guanyi Chen, Jin-Ge Yao:
A Closer Look at Recent Results of Verb Selection for Data-to-Text NLG. 158-163 - Juraj Juraska, Kevin Bowden, Marilyn A. Walker:
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation. 164-172 - Ying-Hong Chan, Yao-Chung Fan:
BERT for Question Generation. 173-177 - Somayeh Jafaritazehjani, Albert Gatt, Marc Tanti:
Visually grounded generation of entailments from premises. 178-188 - Hoang-Quoc Nguyen-Son, Tran Thao Phuong, Seira Hidano, Shinsaku Kiyomoto:
Detecting Machine-Translated Text using Back Translation. 189-197 - Seiya Kawano, Koichiro Yoshino, Satoshi Nakamura:
Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label-aware Objective. 198-207 - Katy Ilonka Gero, Chris Kedzie, Jonathan Reeve, Lydia B. Chilton:
Low Level Linguistic Controls for Style Transfer and Content Preservation. 208-218 - Alberto Poncelas, Andy Way:
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation. 219-228 - Erion Çano, Ondrej Bojar:
Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study. 229-239 - William Kolkey, Jian Dong, Greg Bybee:
An NLG System for Constituent Correspondence: Personality, Affect, and Alignment. 240-243 - Naba Rizvi, Sebastian Gehrmann, Franck Dernoncourt:
Margin Call: an Accessible Web-based Text Viewer with Generated Paragraph Summaries in the Margin. 244-246 - Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui:
Privacy-Aware Text Rewriting. 247-257 - John Lee, Chak Yan Yeung:
Personalized Substitution Ranking for Lexical Simplification. 258-267 - Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych:
Revisiting the Binary Linearization Technique for Surface Realization. 268-278 - Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, Jonas Kuhn:
Head-First Linearization with Tree-Structured Representation. 279-289 - Mika Hämäläinen, Khalid Al-Najjar:
Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing. 290-300 - Enrique Manjavacas, Mike Kestemont, Folgert Karsdorp:
Generation of Hip-Hop Lyrics with Hierarchical Modeling and Conditional Templates. 301-310 - Hongmin Wang:
Revisiting Challenges in Data-to-Text Generation with Fact Grounding. 311-322 - Kasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao:
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels. 323-332 - Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. 333-343 - Jacopo Amidei, Paul Piwek, Alistair Willis:
Agreement is overrated: A plea for correlation to assess human evaluation reliability. 344-354 - Chris van der Lee, Albert Gatt, Emiel van Miltenburg, Sander Wubben, Emiel Krahmer:
Best practices for the human evaluation of automatically generated text. 355-368 - Ondrej Dusek, Karin Sevegnani, Ioannis Konstas, Verena Rieser:
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking). 369-376 - Amit Moryossef, Yoav Goldberg, Ido Dagan:
Improving Quality and Efficiency in Plan-based Neural Data-to-text Generation. 377-382 - Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada:
Toward a Better Story End: Collecting Human Evaluation with Reasons. 383-390 - Saad Mahamood, Maciej Zembrzuski:
Hotel Scribe: Generating High Variation Hotel Descriptions. 391-396 - Jacopo Amidei, Paul Piwek, Alistair Willis:
The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations. 397-402 - Emiel van Miltenburg, Merel van de Kerkhof, Ruud Koolen, Martijn Goudbeek, Emiel Krahmer:
On task effects in NLG corpus elicitation: a replication study using mixed effects modeling. 403-408 - Taichi Nishimura, Atsushi Hashimoto, Shinsuke Mori:
Procedural Text Generation from a Photo Sequence. 409-414 - Daniel Braun, Kira Klimt, Daniela Schneider, Florian Matthes:
SimpleNLG-DE: Adapting SimpleNLG 4 to German. 415-420 - Ondrej Dusek, David M. Howcroft, Verena Rieser:
Semantic Noise Matters for Neural Natural Language Generation. 421-426 - Philipp Sadler, Tatjana Scheffler, David Schlangen:
Can Neural Image Captioning be Controlled via Forced Attention? 427-431 - Jan Milan Deriu, Mark Cieliebak:
Towards a Metric for Automated Conversational Dialogue System Evaluation and Improvement. 432-437 - Tadashi Nomoto:
Generating Paraphrases with Lean Vocabulary. 438-442 - Saar Hommes, Chris van der Lee, Felix J. Clouth, Jeroen K. Vermunt, Xander Verbeek, Emiel Krahmer:
A Personalized Data-to-Text Support Tool for Cancer Patients. 443-452 - Alessandra Cervone, Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Anu Venkatesh, Dilek Hakkani-Tür, Raefer Gabriel:
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering. 453-462 - Alessandro Mazzei, Michele Monticone, Cristian Bernareggi:
Using NLG for speech synthesis of mathematical sentences. 463-472 - Simon Mille, Stamatia Dasiopoulou, Beatríz Fisas, Leo Wanner:
Teaching FORGe to Verbalize DBpedia Properties in Spanish. 473-483 - Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz:
Generating justifications for norm-related agent decisions. 484-493 - Qingyu Zhou, Danqing Huang:
Towards Generating Math Word Problems from Equations and Topics. 494-503 - Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German. 504-507 - Takahiko Ito, Shintaro Inuzuka, Yoshiaki Yamada, Jun Harashima:
Real World Voice Assistant System for Cooking. 508-509 - Hyungtak Choi, Lohith Ravuru, Tomasz Dryjanski, Sunghan Rye, Donghyun Lee, Hojung Lee, Inchul Hwang:
VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization. 510-515 - Sebastian Gehrmann, Zachary M. Ziegler, Alexander M. Rush:
Generating Abstractive Summaries with Finetuned Language Models. 516-522 - Shahbaz Syed, Michael Völske, Nedim Lipka, Benno Stein, Hinrich Schütze, Martin Potthast:
Towards Summarization for Social Media - Results of the TL;DR Challenge. 523-528 - Guanyi Chen, Kees van Deemter, Chenghua Lin:
Generating Quantified Descriptions of Abstract Visual Scenes. 529-539 - Mehdi Ghanimifard, Simon Dobnik:
What goes into a word: generating image descriptions with top-down spatial knowledge. 540-551 - Raheel Qader, François Portet, Cyril Labbé:
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models. 552-562 - Ondrej Dusek, Filip Jurcícek:
Neural Generation for Czech: Data and Baselines. 563-574 - Jan Niehues, Ngoc-Quan Pham:
Modeling Confidence in Sequence-to-Sequence Models. 575-583 - Chris Kedzie, Kathleen R. McKeown:
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models. 584-593 - Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao:
A Stable Variational Autoencoder for Text Modelling. 594-599
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